{"skills":[{"name":"codexguild","description":"Keep your knowledge current and your setup safe through CodexGuild — what changed in your project's stack since your training cutoff (releases, breaking changes), security-scanned skill recommendations, security advisories for coding agents, verified knowledge-base answers, a Q&A forum and live chat with other agents. Use at the start of a session, before upgrading or migrating a dependency, when unsure whether an API or pattern is still current, before installing any skill, when stuck on a version-specific problem, or to ask, answer, discuss and vote with other agents.","files":["SKILL.md","references/api.md","references/setup.md"]},{"name":"13c-metabolic-flux","description":"Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional ","files":["SKILL.md","assets/branch-fluxes.json","assets/branch-identifiable.json","assets/branch-model.json","assets/branch-unresolved.json","assets/mfapy-license.txt","assets/requirements.txt","assets/tca-fluxes.json","assets/tca-model.json","assets/tca-reference-mdv.json","assets/tca-tracer.json","references/inference.md","references/input-contract.md","scripts/_mfa_fit.py","scripts/_mfa_model.py","scripts/mfa.py"]},{"name":"ably-automation","description":"Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"abstract-automation","description":"Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"abuselpdb-automation","description":"Automate Abuselpdb tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"abyssale-automation","description":"Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"academic-plotting","description":"Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via ","files":["SKILL.md","references/data-visualization.md","references/diagram-generation.md","references/style-guide.md"]},{"name":"academy-guide","description":"Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: \"how do I\", \"how can I\", \"getting started with\", \"","files":["SKILL.md","LICENSE.txt"]},{"name":"accelo-automation","description":"Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"access-review","description":"Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.","files":["SKILL.md"]},{"name":"accessibility","description":"Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, contrast, target size, and screen-reader support. Use when building or auditing UI for accessibility compliance, keyboard n","files":["SKILL.md"]},{"name":"accessibility-compliance","description":"Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.","files":["SKILL.md","references/aria-patterns.md","references/details.md","references/mobile-accessibility.md","references/wcag-guidelines.md"]},{"name":"accessibility-skill","description":"Adds automated accessibility (a11y) testing to test suites on TestMu AI cloud by enabling WCAG scans through driver capabilities. Framework-agnostic, works with Selenium, Playwright, and Cypress. Use when user mentions \"accessibility\", \"a11y\", \"WCAG\", \"accessibility scan\", \"accessibility testing\". T","files":["SKILL.md","reference/playbook.md"]},{"name":"accredible-certificates-automation","description":"Automate Accredible Certificates tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"acculynx-automation","description":"Automate Acculynx tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"aceternity-ui","description":"100+ animated React components (Aceternity UI) for Next.js with Tailwind. Use for hero sections, parallax, 3D effects, or encountering animation, shadcn CLI integration errors.","files":["SKILL.md","references/component-catalog.md","references/quick-start.md"]},{"name":"acreadiness-assess","description":"Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when","files":["SKILL.md"]},{"name":"acreadiness-generate-instructions","description":"Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in","files":["SKILL.md"]},{"name":"acreadiness-policy","description":"Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights,","files":["SKILL.md"]},{"name":"active-campaign-automation","description":"Automate ActiveCampaign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ad-campaign-analyzer","description":"Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like \"analyze my ad campaigns\", \"where am I wasting ad spend\", \"reallocate my ad budget\", \"which ads are actually working\", or \"ROAS analysis\". Do not trigger for campaign plann","files":["SKILL.md"]},{"name":"adapter-aws-lambda","description":"Deploy tRPC on AWS Lambda with awsLambdaRequestHandler() from @trpc/server/adapters/aws-lambda for API Gateway v1 (REST, APIGatewayProxyEvent) and v2 (HTTP, APIGatewayProxyEventV2), and Lambda Function URLs. Enable response streaming with awsLambdaStreamingRequestHandler() wrapped in awslambda.strea","files":["SKILL.md"]},{"name":"adapter-express","description":"Mount tRPC as Express middleware with createExpressMiddleware() from @trpc/server/adapters/express. Access Express req/res in createContext via CreateExpressContextOptions. Mount at a path prefix like app.use('/trpc', ...). Avoid global express.json() conflicting with tRPC body parsing for FormData.","files":["SKILL.md"]},{"name":"adapter-fastify","description":"Mount tRPC as a Fastify plugin with fastifyTRPCPlugin from @trpc/server/adapters/fastify. Configure prefix, trpcOptions (router, createContext, onError). Enable WebSocket subscriptions with useWSS and @fastify/websocket. Set routerOptions.maxParamLength for batch requests. Requires Fastify v5+. Fast","files":["SKILL.md"]},{"name":"adapter-fetch","description":"Deploy tRPC on WinterCG-compliant edge runtimes with fetchRequestHandler() from @trpc/server/adapters/fetch. Supports Cloudflare Workers, Deno Deploy, Vercel Edge Runtime, Astro, Remix, SolidStart. FetchCreateContextFnOptions provides req (Request) and resHeaders (Headers) for context creation. The ","files":["SKILL.md"]},{"name":"adapter-standalone","description":"Mount tRPC on Node.js built-in HTTP server with createHTTPServer() from @trpc/server/adapters/standalone, createHTTPHandler() for custom http.createServer, createHTTP2Handler() for HTTP/2 with TLS. Configure basePath to slice URL prefix, CORS via the cors npm package passed as middleware option. Cre","files":["SKILL.md"]},{"name":"adaptive","description":"Instructions to make or update an app's UI so that it adapts to different","files":["SKILL.md","references/android/develop/ui/compose/layouts/adaptive/flexbox/container-behavior.md","references/android/develop/ui/compose/layouts/adaptive/flexbox/get-started.md","references/android/develop/ui/compose/layouts/adaptive/flexbox/index.md","references/android/develop/ui/compose/layouts/adaptive/flexbox/item-behavior.md","references/android/develop/ui/compose/layouts/adaptive/grid/container-properties.md","references/android/develop/ui/compose/layouts/adaptive/grid/get-started.md","references/android/develop/ui/compose/layouts/adaptive/grid/index.md","references/android/develop/ui/compose/layouts/adaptive/grid/item-properties.md","references/android/develop/ui/compose/layouts/adaptive/mediaquery/index.md","references/android/develop/ui/compose/tooling/debug.md","references/android/guide/navigation/navigation-3/recipes/material-listdetail.md"]},{"name":"adaptive-metrics","description":"Cut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact/regex rules, label-drop config, unused-metric detection, and Alloy remote_write fallback. Use when investigating a high Mimir/Grafana Cloud ","files":["SKILL.md","references/api.md"]},{"name":"adaptyv","description":"Uses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results. Applies to Adaptyv Foundry, its target catalog, binding screening and affinity assays, thermostability, expression, flu","files":["SKILL.md","references/api-endpoints.md"]},{"name":"add-educational-comments","description":"Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.","files":["SKILL.md"]},{"name":"adding-dbt-unit-test","description":"Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.","files":["SKILL.md","references/examples.md","references/spec.md","references/special-cases-ephemeral-dependency.md","references/special-cases-incremental-model.md","references/special-cases-special-case-overrides.md","references/special-cases-versioned-model.md","references/warehouse-bigquery-caveats.md","references/warehouse-bigquery-data-types.md","references/warehouse-postgres-data-types.md","references/warehouse-redshift-caveats.md","references/warehouse-redshift-data-types.md","references/warehouse-snowflake-data-types.md","references/warehouse-spark-data-types.md"]},{"name":"address-sanitizer","description":"Builds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during fuzzing or tests. Covers -fsanitize=address builds, ASAN_OPTIONS, reading the crash report, LeakSanitizer, and the overhead and platform trade-offs. Use when fuzzing C/C++ or Rust th","files":["SKILL.md","agents/openai.yaml"]},{"name":"addresszen-automation","description":"Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"admin","description":"Manage Grafana Cloud accounts — organizations, stacks, RBAC roles and assignments, SSO/SAML/OAuth/GitHub auth, service accounts for CI/CD, user invites, team membership, and API-driven provisioning. Creates stacks via the Cloud API, mints service-account tokens, applies role assignments, configures ","files":["SKILL.md","references/api-reference.md","references/sso.md","references/terraform.md"]},{"name":"admission-control","description":"Use when the user asks to \"write a validator\", \"add validation\", \"implement admission control\", \"write a mutating webhook\", \"add a mutation handler\", \"validate incoming resources\", \"implement admission logic\", \"add admission webhooks\", \"write ingress validation\", or asks how to validate or mutate re","files":["SKILL.md","references/admission-patterns.md"]},{"name":"adobe-automation","description":"Automate Adobe tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"adobe-illustrator-scripting","description":"Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, ","files":["SKILL.md","references/object-model-quick-reference.md"]},{"name":"adrapid-automation","description":"Automate Adrapid tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"advanced-evaluation","description":"This skill should be used for advanced LLM evaluation: LLM-as-judge systems, direct scoring, pairwise comparison, rubric calibration, evaluator bias mitigation, confidence scoring, and automated quality assessment.","files":["SKILL.md","references/bias-mitigation.md","references/evaluation-pipeline.md","references/implementation-patterns.md","references/metrics-guide.md","scripts/evaluation_example.py"]},{"name":"adyntel-automation","description":"Automate Adyntel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"aeon","description":"This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorit","files":["SKILL.md","references/anomaly_detection.md","references/classification.md","references/clustering.md","references/datasets_benchmarking.md","references/distances.md","references/forecasting.md","references/networks.md","references/regression.md","references/segmentation.md","references/similarity_search.md","references/transformations.md"]},{"name":"aero-workflow-automation","description":"Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"aeroleads-automation","description":"Automate Aeroleads tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"affinda-automation","description":"Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"affinity-automation","description":"Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"aflpp","description":"Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast. Covers instrumentation modes, parallel main and secondary campaigns, persistent mode, corpus minimization, and crash triage. Use when scaling fuzzing across cores, fuzzing a mature C/C++ codeba","files":["SKILL.md","agents/openai.yaml"]},{"name":"agencyzoom-automation","description":"Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agent-architecture","description":"Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/architecture-contract.md","references/architecture-selection.md","references/audit.md","references/capability-design.md","references/design.md","references/diagnostic-review.md","references/discovery-protocol.md","references/evaluation-design.md","references/execution-continuity.md","references/result-delivery.md","references/scenarios.md","references/source-map.md","references/validation-loop.md"]},{"name":"agent-architecture-audit","description":"Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent ap","files":["SKILL.md"]},{"name":"agent-development","description":"This skill should be used when the user asks to \"create an agent\", \"add an agent\", \"write a subagent\", \"agent frontmatter\", \"when to use description\", \"agent examples\", \"agent tools\", \"agent colors\", \"autonomous agent\", or needs guidance on agent structure, system prompts, triggering conditions, or ","files":["SKILL.md","examples/agent-creation-prompt.md","examples/complete-agent-examples.md","references/agent-creation-system-prompt.md","references/system-prompt-design.md","references/triggering-examples.md","scripts/validate-agent.sh"]},{"name":"agent-device","description":"Automates interactions for Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info across mobile, TV, and desktop targets.","files":["SKILL.md","references/bootstrap-install.md","references/coordinate-system.md","references/debugging.md","references/exploration.md","references/macos-desktop.md","references/remote-tenancy.md","references/verification.md"]},{"name":"agent-doc-discipline","description":"Writing-time discipline for documents agents consume (the five surfaces, specs, tickets, .omc/skills/) — every rule checkable and carrying a why, steps before reference, one meaning in one home, no restating what the environment already says. Mandatory at drydock seed generation and the launch C5 se","files":["SKILL.md"]},{"name":"agent-eval","description":"Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.","files":["SKILL.md"]},{"name":"agent-framework-azure-ai-py","description":"Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implemen","files":["SKILL.md","references/advanced.md","references/mcp.md","references/threads.md","references/tools.md"]},{"name":"agent-governance","description":"Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when:\n- Building AI agents that call external tools (APIs, databases, file systems)\n- Implementing policy-based access controls for agent tool usage\n- Adding semantic intent classification t","files":["SKILL.md"]},{"name":"agent-harness-construction","description":"Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent's tool set, action space, or observation format.","files":["SKILL.md"]},{"name":"agent-introspection-debugging","description":"Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.","files":["SKILL.md"]},{"name":"agent-mail-automation","description":"Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agent-observability","description":"Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.","files":["SKILL.md"]},{"name":"agent-owasp-compliance","description":"Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks.\nUse this skill when:\n- Evaluating an agent system's security posture before production deployment\n- Running a compliance check against OWASP ASI 2026 standards\n- Mapping existing security controls to the 10","files":["SKILL.md"]},{"name":"agent-payment-x402","description":"Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk, X Layer through OKX Payments / OKX Agent Payments Protocol, and Solana plus multi-network EVM through the upstream x402 packages with facilitator-based ","files":["SKILL.md"]},{"name":"agent-platform-deploy","description":"Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available model","files":["SKILL.md","references/copy_deploy_guide.md","references/region_availability.md","references/troubleshooting.md","references/undeploy_guide.md","references/usage.md","scripts/calculate_cost.py","scripts/config_gcloud_cli.sh"]},{"name":"agent-platform-endpoint-management","description":"Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for run","files":["SKILL.md"]},{"name":"agent-platform-eval-flywheel","description":"Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results be","files":["SKILL.md","references/dataset_schema.md","references/deployment.md","references/failure_patterns.md","references/metric_registry.md","references/sdk_patterns.md","scripts/compare_results.py","scripts/endpoint_evaluation.py","scripts/inspect_results.py","scripts/maas_evaluation.py","scripts/parse_adk_traces.py","scripts/render_html_report.py","scripts/validate_dataset.py"]},{"name":"agent-platform-inference","description":"Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate c","files":["SKILL.md","scripts/gemini_genai_sdk.py","scripts/gemini_openai_sdk.py","scripts/gemini_vertexai_sdk.py","scripts/openmaas_genai_sdk.py","scripts/openmaas_openai_sdk.py","scripts/openmaas_vertexai_sdk.py","scripts/requirements.txt","scripts/verify_all.sh"]},{"name":"agent-platform-migrate-from-ai-studio","description":"Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry","files":["SKILL.md"]},{"name":"agent-platform-model-registry","description":"Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.","files":["SKILL.md"]},{"name":"agent-platform-prompt-management","description":"Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.","files":["SKILL.md","references/create.md"]},{"name":"agent-platform-rag-engine-management","description":"Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner ski","files":["SKILL.md"]},{"name":"agent-platform-skill-registry","description":"Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.","files":["SKILL.md","references/generate-skill.md","references/manage-skills.md","references/monitor-operations.md","references/query-skills.md","scripts/requirements.txt","scripts/skill_registry_ops.py","scripts/validate_env.py"]},{"name":"agent-platform-troubleshooting","description":"Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission err","files":["SKILL.md","references/agent-gateway.md","references/agent-identity.md","references/agent-registry.md","references/field-manual.md","references/known-issues.md","references/policies.md"]},{"name":"agent-platform-tuning","description":"Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-","files":["SKILL.md","references/data_prep.md","references/hf_datasets.md","references/models.md","references/requirements.txt","references/tuning_guide.md","scripts/calculate_cost.py","scripts/cancel_tuning_job.py","scripts/list_models.py","scripts/monitor_tuning_job.py","scripts/prepare_dataset.py","scripts/tune_open_model.py"]},{"name":"agent-platform-tuning-management","description":"Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management","files":["SKILL.md"]},{"name":"agent-runtime-gateway-smoke-test","description":"Verify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.","files":["SKILL.md"]},{"name":"agent-security-hardening","description":"Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployme","files":["SKILL.md"]},{"name":"agent-self-evaluation","description":"Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.","files":["SKILL.md","examples/high-score-example.md","examples/low-score-example.md","references/evaluation-criteria.md","references/hook-integration.md","scripts/evaluate.py","templates/evaluation-report.md"]},{"name":"agent-sort","description":"Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.","files":["SKILL.md"]},{"name":"agent-supply-chain","description":"Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when:\n- Generating SHA-256 integrity manifests for agent plugins or tool packages\n- Verifying that installed plugins match their published manifests\n- Detecting tampered, modified, or untracked files in agent","files":["SKILL.md"]},{"name":"agentic-engineering","description":"Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.","files":["SKILL.md"]},{"name":"agentic-eval","description":"Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when:\n- Implementing self-critique and reflection loops\n- Building evaluator-optimizer pipelines for quality-critical generation\n- Creating test-driven code refinement workflows\n- Designing rubric-based or LLM-as-j","files":["SKILL.md"]},{"name":"agentql-automation","description":"Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agents-md","description":"Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files. Use when asked to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, document repository agent conventions, or keep coding-agent instructions minimal and reference-backed.","files":["SKILL.md","SOURCES.md","SPEC.md"]},{"name":"agents-sdk","description":"Build, debug, or review Cloudflare Agents SDK applications using the agents package.","files":["SKILL.md","references/browse-the-web.md","references/callable.md","references/client-sdk.md","references/codemode.md","references/configuration.md","references/durable-execution.md","references/email.md","references/human-in-the-loop.md","references/mcp.md","references/observability.md","references/queue-retries.md","references/routing.md","references/server-driven-messages.md","references/state-scheduling.md","references/streaming-chat.md","references/think.md","references/voice.md","references/webhooks-push.md","references/workflows.md"]},{"name":"agenty-automation","description":"Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agiled-automation","description":"Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agility-cms-automation","description":"Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"agp-9-upgrade","description":"Upgrades, or migrates, an Android project to use Android Gradle Plugin","files":["SKILL.md","references/android/build/migrate-to-built-in-kotlin.md","references/android/build/releases/agp-9-0-0-release-notes.md","references/buildconfig.md","references/ksp-kapt.md","references/paparazzi-gradle-9.md","references/recipes.md"]},{"name":"ai-debt-detector","description":"Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the ","files":["SKILL.md"]},{"name":"ai-first-engineering","description":"Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.","files":["SKILL.md"]},{"name":"ai-inference-service-mesh","description":"Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.","files":["SKILL.md"]},{"name":"ai-ml-api-automation","description":"Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ai-pipeline-orchestration","description":"Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. Build reliable, observable, and retriable workflows for production AI systems.","files":["SKILL.md"]},{"name":"ai-prompt-engineering-safety-review","description":"Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.","files":["SKILL.md"]},{"name":"ai-ready","description":"Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to \"make this repo ai-ready\", \"set up AI config\", or ","files":["SKILL.md"]},{"name":"ai-regression-testing","description":"Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the sa","files":["SKILL.md"]},{"name":"ai-security-hardening","description":"Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks. Covers input validation, output filtering, access control, model API security, and compliance controls for production AI systems.","files":["SKILL.md"]},{"name":"ai-slop-cleaner","description":"Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode","files":["SKILL.md"]},{"name":"ai-sre-incident-response","description":"Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.","files":["SKILL.md"]},{"name":"ai-team-orchestration","description":"Bootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.","files":["SKILL.md","references/anti-patterns.md","references/brainstorm-format.md","references/project-brief-template.md","references/sprint-plan-template.md"]},{"name":"aiq-research","description":"Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.","files":["SKILL.md","BENCHMARK.md","evals/basic-product.json","evals/evals.json","scripts/aiq.py","skill-card.md"]},{"name":"airflow-dag-patterns","description":"Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.","files":["SKILL.md","references/details.md"]},{"name":"airunway-aks-setup","description":"Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \\\"setup AI Runway\\\", \\\"onboard AKS cluster\\\", \\\"install AI Runway\\\", \\\"airunway setup\\\", \\\"deploy model to AKS\\\", \\\"GPU inference","files":["SKILL.md","references/gpu-profiles.md","references/model-sizing.md","references/optional-gpu-day2.md","references/powershell-notes.md","references/steps/step-1-verify.md","references/steps/step-2-controller.md","references/steps/step-3-gpu.md","references/steps/step-4-provider.md","references/steps/step-5-deploy.md","references/steps/step-6-summary.md","references/troubleshooting.md"]},{"name":"aivoov-automation","description":"Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"aks-gpu-inference","description":"Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), sta","files":["SKILL.md","references/gpu-cost-and-scaling.md","references/gpu-observability.md","references/gpu-scheduling.md","references/kaito-workspaces.md"]},{"name":"aks-known-issues","description":"Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zo","files":["SKILL.md","references/error-code-map.md"]},{"name":"aks-network-capture","description":"Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: \\\"capture packets on an AKS node\\\", \\\"take a pcap\\\", \\\"run tcpdump on AKS\\\", \\\"prove where packets drop\\\". Use for explicit packet-capture intent after read-only diagnostics, not general AK","files":["SKILL.md","references/capture-authorization.md","scripts/collect-azure-network-info.ps1","scripts/collect-azure-network-info.sh","scripts/create-capture.ps1","scripts/create-capture.sh","scripts/generate-test-traffic.ps1","scripts/generate-test-traffic.sh","scripts/retrieve-captures.ps1","scripts/retrieve-captures.sh","scripts/run-capture.sh","scripts/setup-capture-configmap.ps1","scripts/setup-capture-configmap.sh"]},{"name":"alchemy-automation","description":"Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"alerting-irm","description":"Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook), notification policies with hierarchical matchers, silences, mute timings, on-call schedules and escala","files":["SKILL.md","references/alerting.md","references/irm.md","references/slo.md"]},{"name":"alerting-oncall","description":"Set up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation. Use when implementing alerting strategies and on-call management for production systems.","files":["SKILL.md"]},{"name":"algodocs-automation","description":"Automate Algodocs tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"algolia-automation","description":"Automate Algolia tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"algorand-vulnerability-scanner","description":"Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).","files":["SKILL.md","agents/openai.yaml","resources/VULNERABILITY_PATTERNS.md"]},{"name":"algorithmic-art","description":"Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avo","files":["SKILL.md","LICENSE.txt","templates/generator_template.js"]},{"name":"all-images-ai-automation","description":"Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"alloy","description":"Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` ","files":["SKILL.md","references/collection-patterns.md","references/components.md","references/config-syntax.md"]},{"name":"alloydb-basics","description":"Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or o","files":["SKILL.md","references/cli-usage.md","references/core-concepts.md","references/iac-usage.md","references/iam-security.md","references/mcp-usage.md"]},{"name":"alpha","description":"Fixture dispatcher with a mode table and forced-read references.","files":["SKILL.md","references/CORE.md","references/OPTIONAL.md","references/POLICY.md"]},{"name":"alpha-vantage-automation","description":"Automate Alpha Vantage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"alphagenome","description":"Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), scores varia","files":["SKILL.md","references/atlas.md","references/interpretation.md","references/model-api.md","scripts/_common.py","scripts/atlas_link.py","scripts/atlas_query.py","scripts/score_variants.py"]},{"name":"altoviz-automation","description":"Automate Altoviz tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"alttext-ai-automation","description":"Automate Alttext AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"amara-automation","description":"Automate Amara tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"amazon-automation","description":"Automate Amazon tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"amazon-braket","description":"Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending l","files":["SKILL.md","references/devices.md","references/hybrid-job.md","references/pricing.md","references/program-sets.md","references/spending-limit.md"]},{"name":"amazon-documentdb","description":"Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration, slow-query diagnosis, major version upgrades (4.0->5.0->8.0), Well-Architected reviews (41-check wa_r","files":["SKILL.md","references/compatibility.md","references/connection-drivers.md","references/connection.md","references/migration.md","references/performance.md","references/schema-advisor.md","references/troubleshooting.md","references/upgrade.md","references/well-architected.md","scripts/wa_review.py"]},{"name":"amazon-ec2-image-builder","description":"Creates and automates custom image builds with EC2 Image Builder - Linux, Windows, and macOS AMIs, and container images to ECR. Covers the build IAM role, Amazon-managed and custom components, image recipes, infrastructure and distribution configuration (launch templates, SSM parameters, other Regio","files":["SKILL.md","references/creating-images.md","references/custom-workflows.md","references/distribution-options.md","references/other-image-types.md","references/troubleshooting.md"]},{"name":"amazon-eventbridge-event-bus","description":"Builds, runs, debugs, and operates event-driven applications using EventBridge Event Bus - a managed, centrally governed publish/subscribe event bus that an organization can share across many teams and accounts. Applicable when workloads need event-driven architectures, decoupling, choreography, asy","files":["SKILL.md","references/authorization.md","references/cloudevents.md","references/code-samples.md","references/cost-and-quotas.md","references/delivery-troubleshooting.md","references/event-sources.md","references/filters-and-expressions.md","references/infrastructure-as-code.md","references/migrating-from-classic.md","references/observability.md","references/provisioning-and-state.md","references/replay-and-recovery.md","references/schema-registries.md","references/security-and-sharing.md","references/setup-walkthroughs.md","references/target-configuration.md","references/target-contract.md"]},{"name":"amazon-keyspaces","description":"Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon Keyspaces (for Apache Cassandra). Covers LWT/batch operations, secondary indexes, materialized views, capacity modes, TTL, PITR, CDC, auto-scaling","files":["SKILL.md","assets/data/mcs.json","assets/data/regions.json","assets/data/savings-plans.json","references/cassandra-capture-commands.md","references/connection-troubleshooting.md","references/keyspaces-unsupported-features.md","references/mode-1-manual-inputs.md","references/mode-2-cassandra-diagnostics.md","references/mode-3-compatibility.md","references/mode-4-sql-migration.md","references/pdf-reporting.md","references/pre-warming.md","references/security-considerations.md","scripts/calculate.ts","scripts/calculator/Constants.js","scripts/calculator/CreatePDFReport.ts","scripts/calculator/ParsingHelpers.ts","scripts/calculator/PricingData.js","scripts/calculator/PricingFormulas.ts","scripts/calculator/index.ts","scripts/check-compatibility.ts","scripts/generate-pdf.ts","scripts/package.json","scripts/parse-cassandra.ts","scripts/prepared-statements-sampler.sh","scripts/tsconfig.scripts.json"]},{"name":"amazon-location-service","description":"Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses","files":["SKILL.md","references/address-input.md","references/address-verification.md","references/calculate-routes.md","references/device-tracking.md","references/dynamic-map.md","references/google-migration-android.md","references/google-migration-ios.md","references/google-migration-web.md","references/places-search.md","references/web-javascript.md","references/zone-alerts.md"]},{"name":"amazon-workspaces-agent-access","description":"Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join","files":["SKILL.md","references/automation-best-practices.md","references/connection-modes.md","references/connection-setup.md","references/enabling-agent-access.md","references/session-lifecycle.md","references/tool-forwarding.md","references/tools-reference.md","references/troubleshooting.md"]},{"name":"ambee-automation","description":"Automate Ambee tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ambient-weather-automation","description":"Automate Ambient Weather tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"amc-run-rtsp-calibration","description":"Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/run_rtsp_calibration.py","skill-card.md"]},{"name":"amc-run-sample-calibration","description":"Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/run_sample_calibration.py","skill-card.md"]},{"name":"amc-run-video-calibration","description":"Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/run_video_calibration.py","skill-card.md"]},{"name":"amcards-automation","description":"Automate Amcards tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"amplify-workflow","description":"Build and deploy full-stack web and mobile apps with AWS Amplify Gen2","files":["SKILL.md","references/advanced-features.md","references/ai.md","references/auth-backend.md","references/auth-mobile.md","references/auth-web.md","references/core-mobile.md","references/core-web.md","references/data-backend.md","references/data-mobile.md","references/data-web.md","references/deployment.md","references/functions-and-api.md","references/scaffolding.md","references/storage-backend.md","references/storage-mobile.md","references/storage-web.md"]},{"name":"analytical-method-validation","description":"Plans, executes, and documents validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and lig","files":["SKILL.md","assets/validation-protocol-template.md","assets/validation-report-template.md","references/compendial-and-clsi.md","references/framework-selection.md","references/ich-m10-bioanalytical.md","references/ich-q2r2.md","references/source-ledger.md","references/statistics.md","scripts/_catalog.py","scripts/_common.py","scripts/check_accuracy_precision.py","scripts/check_bioanalytical_run.py","scripts/check_detection_limits.py","scripts/check_response.py","scripts/compare_methods.py","scripts/plan_validation.py"]},{"name":"anchor-browser-automation","description":"Automate Anchor Browser tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"android-agp-upgrade","description":"Upgrade an Android project to Android Gradle Plugin (AGP) 9. Use when migrating to AGP 9, updating Gradle build files, migrating to built-in Kotlin, or adopting the new AGP DSL.","files":["SKILL.md","evals/evals.json","references/built-in-kotlin.md","references/dsl-migration.md"]},{"name":"android-architecture","description":"Apply Clean Architecture layering, modularization, and Unidirectional Data Flow in Android projects. Use when setting up project structure, placing code in layers, configuring feature/core modules, or implementing UDF patterns; defer Compose state and ViewModel/StateFlow implementation to their spec","files":["SKILL.md","evals/evals.json","references/compose-standards.md","references/implementation.md"]},{"name":"android-background-work","description":"Implement WorkManager and background processing correctly on Android. Use when creating Worker classes, scheduling tasks, choosing between WorkManager and Foreground Services, or setting up Hilt in workers; defer FCM and notification delivery to android-notifications.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-clean-architecture","description":"Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.","files":["SKILL.md"]},{"name":"android-compose","description":"Build high-performance declarative UI with Jetpack Compose. Use when writing Composable functions, optimizing recomposition, hoisting state, or working with LazyColumn and side effects; defer deep-link and navigation routing to android-navigation.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-compose-migration","description":"Migrate an Android XML View to Jetpack Compose following a structured 10-step workflow. Use when converting XML layouts to Compose, setting up Compose in an existing View-based project, or incrementally adopting Compose.","files":["SKILL.md","evals/evals.json","references/dependency-setup.md","references/interop-patterns.md"]},{"name":"android-concurrency","description":"Write correct coroutine scopes, lifecycle collection, and dispatcher injection in Android production code. Use for suspend functions, coroutine scopes, and dispatcher mechanics; defer ViewModel StateFlow/LiveData architecture, Fragment lifecycle recipes, persistence/notifications, and unit-test reci","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-deployment","description":"Configure release signing, R8 obfuscation, and App Bundle publishing for Android. Use when setting up signing configs, enabling minification, adding ProGuard keep rules, or preparing for Play Store submission.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-design-system","description":"Enforce Material Design 3 theming and design token usage in Jetpack Compose. Use when implementing M3 components, color schemes, typography, or design tokens.","files":["SKILL.md","evals/evals.json"]},{"name":"android-di","description":"Configure Hilt dependency injection with proper scoping, modules, and constructor injection in Android. Use when changing the production Hilt graph; defer test overrides, Room wiring, navigation-specific scopes, and generic DI explanations to their specific skills.","files":["SKILL.md","evals/evals.json","references/files.md"]},{"name":"android-edge-to-edge","description":"Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.","files":["SKILL.md","evals/evals.json","references/inset-patterns.md"]},{"name":"android-intent-security","description":"Best practices for Android Intent security. Use this skill when auditing","files":["SKILL.md"]},{"name":"android-legacy-navigation","description":"Implement Jetpack Navigation Component with XML graphs and SafeArgs for type-safe fragment navigation. Use when working with XML-based navigation or SafeArgs in legacy Android projects; defer drawer and other UI-chrome work to UI skills.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-legacy-security","description":"Harden Intent handling, WebView configuration, and FileProvider access in Android apps. Use when securing Intent extras, configuring WebViews, or exposing files via FileProvider; defer manifest export flags and generic Bundle typing to focused Android security guidance.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-legacy-state","description":"Integrate ViewModel state with XML Views using Coroutines and Lifecycle on Android. Use when managing state with repeatOnLifecycle or lifecycle-aware coroutines in Fragment/Activity; defer Compose state and generic Flow design to their specific skills.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-navigation","description":"Implement screen routes and deep-link/App Link routing with Jetpack Compose Navigation on Android. Use when the primary task is Compose route configuration or external URL routing; defer typed-route APIs, XML/fragments, generic back-stack, and transition questions to their specific navigation skills","files":["SKILL.md","evals/evals.json","references/navigation-patterns.md"]},{"name":"android-navigation-3","description":"Install and migrate to Jetpack Navigation 3. Use when implementing Navigation 3 patterns including NavDisplay, NavKey routes, deep links, multiple backstacks, scenes (dialogs, bottom sheets), or migrating from Navigation 2.","files":["SKILL.md","evals/evals.json","references/migration-guide.md","references/recipes.md"]},{"name":"android-navigation-type-safe","description":"Implement type-safe Jetpack Navigation Compose routes using Kotlin serialization. Use only when defining typed Compose destinations and arguments; defer XML navigation, deep links, animations, and generic auth or bottom-navigation work.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-networking","description":"Integrate Retrofit, OkHttp, and Kotlinx Serialization for type-safe API communication in Android. Use when building API clients, adding interceptors, or configuring network security—not standalone MockWebServer or API-test setup.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-notifications","description":"Integrate Android app notifications using Firebase Cloud Messaging and NotificationCompat. Use when setting up FCM, notification channels, or client-side notification taps; defer Flutter, server sends, WorkManager orchestration, and generic Intent handling.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-performance","description":"Optimize Android app startup, UI rendering, frame stability, and benchmark performance with Baseline Profiles, Macrobenchmark, and lazy initialization. Use when reducing startup time, diagnosing jank, or measuring rendering; defer Compose state API and test-only questions.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-persistence","description":"Implement Room schemas and DataStore preferences with proper async patterns in Android. Use when the primary task is storage schema, DAO, migration, or preference isolation; defer auth-token/security storage, any CoroutineWorker/WorkManager task, Hilt graph wiring, and cache-policy design.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-resources","description":"Organize Android strings, drawables, fonts, themes, localization, and concrete resource-backed Compose values such as MaterialTheme colors. Use for resource declarations and their direct UI lookup; defer design-system token architecture, network image loading, lint-rule configuration, and general Co","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-security","description":"Secure Android data at rest and authentication secrets. Use for auth tokens, encrypted storage, and app-data isolation; defer WebView/Intent/FileProvider to android-legacy-security and TLS/certificate pinning to android-networking.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-state","description":"Configure ViewModel state emission with StateFlow, SharedFlow, and sealed UiState classes in Android. Use for state modeling and sharing policies; defer generic lifecycle collection, navigation-event plumbing, Hilt injection, test code, and configuration-change recipes to their specific skills.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-testing","description":"Write Android unit, Compose UI, and Hilt-integrated tests. Use when designing test behavior with MockK or coroutine test utilities; defer database/WorkManager-specific recipes to the owning feature skill.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-tooling","description":"Configure Android static analysis with Detekt, Ktlint, and Android Lint for CI/CD quality gates. Use for Android-specific lint and quality tooling; defer generic Java Checkstyle, SonarQube, and standalone CI configuration.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"android-xml-views","description":"Implement ViewBinding, RecyclerView, and XML layouts correctly on Android. Use when changing XML view binding or RecyclerView behavior, including its item animations and layout managers; defer standalone animation or layout-manager questions unrelated to RecyclerView.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"angular-architect","description":"Generates Angular 17+ standalone components, configures advanced routing with lazy loading and guards, implements NgRx state management, applies RxJS patterns, and optimizes bundle performance. Use when building Angular 17+ applications with standalone components or signals, setting up NgRx stores, ","files":["SKILL.md","references/components.md","references/ngrx.md","references/routing.md","references/rxjs.md","references/testing.md"]},{"name":"angular-architecture","description":"Standards for Angular project structure, feature modules, and lazy loading. Use when structuring Angular apps, defining feature modules, or configuring lazy loading.","files":["SKILL.md","evals/evals.json","references/folder-structure.md"]},{"name":"angular-components","description":"Build standalone Angular components with Signals inputs, OnPush change detection, Control Flow, and Smart/Dumb patterns. Use when building standalone Angular components, implementing @if/@for control flow, applying OnPush change detection, or implementing Signals in Angular components.","files":["SKILL.md","evals/evals.json","references/control-flow.md","references/standalone-pattern.md"]},{"name":"angular-dependency-injection","description":"Configure DI, inject() usage, and providers in Angular. Use when configuring Angular dependency injection, using inject(), or defining providers.","files":["SKILL.md","evals/evals.json","references/di-patterns.md"]},{"name":"angular-directives-pipes","description":"Build custom Angular attribute directives, HostDirectives, and pure pipes. Use for Angular directive or pipe implementation, including custom attribute directives; defer React/CSS middleware and unrelated framework work.","files":["SKILL.md","evals/evals.json","references/composition.md"]},{"name":"angular-forms","description":"Build typed reactive forms with strict FormGroup typing, custom validators, and nonNullable controls in Angular. Use when implementing typed reactive forms, custom validators, or form control patterns.","files":["SKILL.md","evals/evals.json","references/typed-forms.md"]},{"name":"angular-http-client","description":"Integrate HttpClient, Interceptors, and API interactions in Angular. Use when integrating HttpClient, writing interceptors, or handling API calls in Angular.","files":["SKILL.md","evals/evals.json","references/interceptors.md"]},{"name":"angular-migration","description":"Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.","files":["SKILL.md","references/details.md"]},{"name":"angular-new-app","description":"Creates a new Angular app using the Angular CLI. This skill should be used whenever a user wants to create a new Angular application and contains important guidelines for how to effectively create a modern Angular application.","files":["SKILL.md"]},{"name":"angular-performance","description":"Optimization techniques including OnPush, @defer, and Image Optimization. Use when optimizing Angular rendering, deferring blocks, or improving Core Web Vitals.","files":["SKILL.md","evals/evals.json","references/defer-usage.md"]},{"name":"angular-routing","description":"Configure Angular Router with lazy-loaded routes, functional guards, and component input binding. Use when defining routes, lazy-loading features, creating route guards, or setting up resolvers.","files":["SKILL.md","evals/evals.json","references/routing-patterns.md"]},{"name":"angular-rxjs-interop","description":"Bridge Observables and Signals using toSignal and toObservable in Angular. Use when converting between RxJS Observables and Angular Signals.","files":["SKILL.md","evals/evals.json","references/observables-vs-signals.md"]},{"name":"angular-security","description":"Harden Angular apps against XSS, CSP violations, and unauthorized access. Use when implementing XSS protection, Content Security Policy, or auth guards in Angular.","files":["SKILL.md","evals/evals.json","references/security-best-practices.md"]},{"name":"angular-ssr","description":"Implement Angular SSR with hydration, TransferState caching, and per-route render modes. Use when configuring Angular Universal SSR, client hydration, static prerendering, or preventing double-fetching.","files":["SKILL.md","evals/evals.json","references/hydration.md"]},{"name":"angular-state-management","description":"Implement application state with Angular Signals, computed derivations, and NgRx Signal Store. Use when implementing reactive state with signal(), computed(), effect(), or @ngrx/signals in Angular.","files":["SKILL.md","evals/evals.json","references/signal-store.md"]},{"name":"angular-style-guide","description":"Naming conventions, file structure, and coding standards for Angular projects. Use for Angular-specific naming and organization; defer language-only TypeScript naming questions.","files":["SKILL.md","evals/evals.json","references/naming-convention.md"]},{"name":"angular-testing","description":"Write Angular component tests using TestBed, ComponentHarness, and HttpTestingController with proper signal input handling. Use when writing component tests, mocking HTTP calls, or testing signal inputs.","files":["SKILL.md","evals/evals.json","references/harness-pattern.md"]},{"name":"angular-tooling","description":"Angular CLI usage, code generation, build configuration, and bundle optimization. Use for Angular CLI/build tasks; defer standalone webpack configuration and generic test-runner setup.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"anndata","description":"Handles annotated matrices in single-cell analysis, .h5ad and Zarr files, and integration with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.","files":["SKILL.md","references/best_practices.md","references/concatenation.md","references/data_structure.md","references/io_operations.md","references/manipulation.md"]},{"name":"anonyflow-automation","description":"Automate Anonyflow tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"answering-natural-language-questions-with-dbt","description":"Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., \"What were total sales last quarter?\", \"Show me top customers by revenue\"). NOT for validating, testin","files":["SKILL.md"]},{"name":"antfu","description":"Anthony Fu's opinionated tooling and conventions for JavaScript/TypeScript projects. Use when setting up new projects, configuring ESLint/Prettier alternatives, monorepos, library publishing, or when the user mentions Anthony Fu's preferences.","files":["SKILL.md","references/antfu-eslint-config.md","references/app-development.md","references/library-development.md","references/monorepo.md","references/setting-up.md"]},{"name":"anthropic-administrator-automation","description":"Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"anti-reversing-techniques","description":"Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security resea","files":["SKILL.md","references/advanced-techniques.md","references/details.md"]},{"name":"apaleo-automation","description":"Automate Apaleo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apex27-automation","description":"Automate Apex27 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"api-ai-augmented","description":"Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about \"AI calling my API\", \"function calling schema\", \"tool definition for LLM\", \"MCP tools\", \"natural language API\", \"AI","files":["SKILL.md"]},{"name":"api-analyzer","description":"Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params). Use this skill whenever a user wants to check, validate, debug, or verify an API call — including when they paste a curl command, show endpoint details, ask \"is this API correct?\", ","files":["SKILL.md"]},{"name":"api-and-interface-design","description":"Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.","files":["SKILL.md"]},{"name":"api-authentication","description":"Secure API authentication with JWT, OAuth 2.0, API keys. Use for authentication systems, third-party integrations, service-to-service communication, or encountering token management, security headers, auth flow errors.","files":["SKILL.md","references/python-flask.md"]},{"name":"api-bible-automation","description":"Automate API Bible tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"api-breaking-change-detector","description":"Cross-references C# Web API controllers/DTOs against their TypeScript/JavaScript consumers (React, Angular, Vue, Svelte, Node.js, or hand-written/auto-generated HTTP clients like Fetch, Axios, NSwag) to catch contract drift in both directions: backend changes that break client applications (renamed/","files":["SKILL.md"]},{"name":"api-changelog-versioning","description":"Creates comprehensive API changelogs documenting breaking changes, deprecations, and migration strategies for API consumers. Use when managing API versions, communicating breaking changes, or creating upgrade guides.","files":["SKILL.md"]},{"name":"api-compliance-checker","description":"Designs GDPR-compliant API patterns, PCI-DSS field handling, SOC2 audit log schemas, HIPAA data endpoints, and regulatory compliance checklists for any API. Use whenever the user asks about GDPR, data privacy, \"right to be forgotten\", data retention APIs, PCI compliance for payments, HIPAA for healt","files":["SKILL.md"]},{"name":"api-connector-builder","description":"Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.","files":["SKILL.md"]},{"name":"api-design","description":"REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.","files":["SKILL.md"]},{"name":"api-design-principles","description":"Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.","files":["SKILL.md","assets/api-design-checklist.md","assets/rest-api-template.py","references/details.md","references/graphql-schema-design.md","references/rest-best-practices.md"]},{"name":"api-designer","description":"Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.","files":["SKILL.md","references/error-handling.md","references/openapi.md","references/pagination.md","references/rest-patterns.md","references/versioning.md"]},{"name":"api-documentation","description":"Generate comprehensive, professional API documentation from API designs, endpoint definitions, OpenAPI/Swagger specs, route lists, or raw endpoint descriptions. Use this skill whenever a user provides API endpoints, route definitions, controller code, OpenAPI YAML/JSON, or any structured API design ","files":["SKILL.md"]},{"name":"api-error-handling","description":"Implements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services.","files":["SKILL.md","references/python-flask.md"]},{"name":"api-fetcher-specific-domains","description":"Provides real-world API endpoint examples and specifications from well-known platforms and domain-specific systems. Use whenever the user asks about APIs for a specific well-known service, wants to integrate with a named platform, or asks \"what does the Stripe API look like\", \"how does the GitHub AP","files":["SKILL.md"]},{"name":"api-filtering-sorting","description":"Builds flexible API filtering and sorting systems with query parameter parsing, validation, and security. Use when implementing search endpoints, building data grids, or creating dynamic query APIs.","files":["SKILL.md"]},{"name":"api-gateway","description":"Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5","files":["SKILL.md","references/architecture-patterns.md","references/authentication.md","references/custom-domains-routing.md","references/deployment.md","references/governance.md","references/observability-analytics.md","references/observability-logging.md","references/observability-metrics-alarms.md","references/performance-scaling.md","references/pitfalls.md","references/requirements-gathering.md","references/sam-cloudformation.md","references/sam-service-integrations.md","references/security.md","references/service-integrations.md","references/service-limits.md","references/troubleshooting.md","references/websocket.md"]},{"name":"api-gateway-configuration","description":"Configures API gateways for routing, authentication, rate limiting, and request transformation in microservice architectures. Use when setting up Kong, Nginx, AWS API Gateway, or Traefik for centralized API management.","files":["SKILL.md"]},{"name":"api-graphql-grpc","description":"Designs GraphQL schemas, resolvers, query/mutation/subscription patterns, and protobuf definitions for gRPC services. Use whenever the user asks about GraphQL, \"design a GraphQL schema\", \"write mutations for\", \"GraphQL subscriptions\", \"DataLoader pattern\", \"gRPC service\", \"protobuf definition\", \"pro","files":["SKILL.md"]},{"name":"api-health-monitoring","description":"Designs health check endpoints, SLA definitions, alerting rules, observability strategies, and dashboard specs for any API. Use whenever the user asks about API monitoring, health checks, uptime, SLA/SLO/SLI definitions, alerting thresholds, Prometheus metrics, Grafana dashboards, distributed tracin","files":["SKILL.md"]},{"name":"api-inferrer-from-files","description":"Infer and list REST API endpoints from file names or project directory structures. Use this skill whenever a user shares a list of file names, a folder/project structure, or mentions phrases like \"what APIs can I build\", \"infer endpoints from files\", \"generate API list\", \"what routes does this proje","files":["SKILL.md"]},{"name":"api-integration","description":"Designs event-driven architectures, webhook systems, API chaining flows, ETL pipelines, and integration patterns between services. Use whenever the user asks about webhooks, event streaming, API composition, connecting two or more APIs, building pipelines, Pub/Sub, Kafka topics, ETL from API to DB, ","files":["SKILL.md"]},{"name":"api-labz-automation","description":"Automate API Labz tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"api-mock-helper","description":"Produces mock server definitions, sandbox environment specs, API stub configurations, and fixture data for any API. Use whenever the user asks about mocking an API, creating a sandbox, \"fake server\", WireMock stubs, Prism mocks, MSW (Mock Service Worker), \"test fixtures\", \"stub the API\", \"mock this ","files":["SKILL.md"]},{"name":"api-ninjas-automation","description":"Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"api-pagination","description":"Implements efficient API pagination using offset, cursor, and keyset strategies for large datasets. Use when building paginated endpoints, implementing infinite scroll, or optimizing database queries for collections.","files":["SKILL.md"]},{"name":"api-rate-limiting","description":"Implements API rate limiting using token bucket, sliding window, and Redis-based algorithms to protect against abuse. Use when securing public APIs, implementing tiered access, or preventing denial-of-service attacks.","files":["SKILL.md"]},{"name":"api-rate-limiting-helper","description":"Designs rate limiting strategies, quota systems, throttling policies, retry logic, and backoff patterns for APIs. Use whenever the user asks about rate limiting, throttling, quotas, \"too many requests\", 429 responses, \"how do I limit my API\", \"retry strategy\", \"exponential backoff\", \"burst vs sustai","files":["SKILL.md"]},{"name":"api-reference-documentation","description":"Creates professional API documentation using OpenAPI specifications with endpoints, authentication, and interactive examples. Use when documenting REST APIs, creating SDK references, or building developer portals.","files":["SKILL.md"]},{"name":"api-response-optimization","description":"Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.","files":["SKILL.md"]},{"name":"api-review","description":"Reviews the specified code against the canonical API Design guidelines. Use this skill when the user asks for an API review or to check code against API design principles.","files":["SKILL.md","references/canonical_api_design.md"]},{"name":"api-sdk-generator","description":"Generates client SDK code, API wrapper libraries, request/response models, and language-specific usage patterns for any REST API. Use whenever the user asks to \"generate an SDK\", \"write a client library\", \"create API wrappers\", \"generate TypeScript types from my API\", \"write a Python client for\", \"c","files":["SKILL.md"]},{"name":"api-security-auth-pattern","description":"Designs and documents authentication, authorization, and security patterns for any API. Use whenever the user asks about OAuth 2.0, JWT, API keys, RBAC, ABAC, rate limiting for security, CORS, HTTPS enforcement, input validation, OWASP API security, token refresh flows, multi-tenancy isolation, or a","files":["SKILL.md"]},{"name":"api-security-hardening","description":"REST API security hardening with authentication, rate limiting, input validation, security headers. Use for production APIs, security audits, defense-in-depth, or encountering vulnerabilities, injection attacks, CORS issues.","files":["SKILL.md","references/python-nginx.md"]},{"name":"api-sports-automation","description":"Automate API Sports tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"api-testing","description":"HTTP API testing for TypeScript (Supertest) and Python (httpx, pytest). Test REST APIs, GraphQL, request/response validation, authentication, and error handling.","files":["SKILL.md"]},{"name":"api-to-testcase-generator","description":"Automatically generate comprehensive test cases from API definitions, endpoint descriptions, OpenAPI/Swagger specs, Postman collections, or raw HTTP request/response examples. Use this skill whenever the user mentions generating tests from APIs, writing test cases for REST endpoints, API testing, cr","files":["SKILL.md","reference/framework-templates.md","reference/openapi-parsing-guide.md"]},{"name":"api-versioning-helper","description":"Advises on API versioning strategies, designs deprecation flows, generates migration guides, and handles breaking vs non-breaking change classification. Use whenever the user asks about API versioning, \"how to version my API\", \"URI vs header versioning\", \"breaking changes\", \"backward compatibility\",","files":["SKILL.md"]},{"name":"api-versioning-strategy","description":"Implements API versioning using URL paths, headers, or query parameters with backward compatibility and deprecation strategies. Use when managing multiple API versions, planning breaking changes, or designing migration paths.","files":["SKILL.md"]},{"name":"api2pdf-automation","description":"Automate Api2pdf tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apiflash-automation","description":"Automate Apiflash tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apilio-automation","description":"Automate Apilio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apipie-ai-automation","description":"Automate Apipie AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apitemplate-io-automation","description":"Automate Apitemplate IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apiverve-automation","description":"Automate Apiverve tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"apollo-client","description":"Guide for building React applications with Apollo Client 4.x. Use this skill when: (1) setting up Apollo Client in a React project, (2) writing GraphQL queries or mutations with hooks, (3) configuring caching or cache policies, (4) managing local state with reactive variables, (5) troubleshooting Ap","files":["SKILL.md","references/caching.md","references/error-handling.md","references/fragments.md","references/integration-client.md","references/integration-nextjs.md","references/integration-react-router.md","references/integration-tanstack-start.md","references/mutations.md","references/queries.md","references/state-management.md","references/suspense-hooks.md","references/troubleshooting.md","references/typescript-codegen.md"]},{"name":"apollo-connectors","description":"DEPRECATED: superseded by the graphos-factory skill (npx skills add apollographql/skills@graphos-factory), which builds and maintains a Connectors subgraph from a REST API with recorded decisions and verification. Guide for integrating REST APIs into GraphQL supergraphs using Apollo Connectors with ","files":["SKILL.md","references/entities.md","references/grammar.md","references/methods.md","references/troubleshooting.md","references/validation.md","references/variables.md"]},{"name":"apollo-federation","description":"Guide for authoring Apollo Federation subgraph schemas. Use this skill when: (1) creating new subgraph schemas for a federated supergraph, (2) defining or modifying entities with @key, (3) sharing types/fields across subgraphs with @shareable, (4) working with federation directives (@external, @requ","files":["SKILL.md","references/composition.md","references/directives.md","references/schema-patterns.md"]},{"name":"apollo-ios","description":"Guide for building Apple-platform applications with Apollo iOS, the strongly-typed GraphQL client for Swift. Use this skill when: (1) adding Apollo iOS to a Swift Package Manager or Xcode project, (2) configuring `apollo-codegen-config.json` and running code generation, (3) configuring an `ApolloCli","files":["SKILL.md","references/caching.md","references/codegen.md","references/custom-scalars.md","references/interceptors.md","references/operations.md","references/setup.md","references/subscriptions.md","references/testing.md","scripts/list-apollo-ios-versions.sh"]},{"name":"apollo-kotlin","description":"Guide for building applications with Apollo Kotlin, the GraphQL client library for Android and Kotlin. Use this skill when: (1) setting up Apollo Kotlin in a Gradle project for Android, Kotlin/JVM, or KMP, (2) configuring schema download and codegen for GraphQL services, (3) configuring an `ApolloCl","files":["SKILL.md","references/caching.md","references/migrating-from-4.md","references/operations.md","references/setup.md","scripts/list-apollo-kotlin-normalized-cache-versions.sh","scripts/list-apollo-kotlin-versions.sh"]},{"name":"apollo-router","description":"Version-aware guide for configuring and running Apollo Router for federated GraphQL supergraphs. Generates correct YAML for both Router v1.x and v2.x. Use this skill when: (1) setting up Apollo Router to run a supergraph, (2) configuring routing, headers, or CORS, (3) implementing custom plugins (Rh","files":["SKILL.md","divergence-map.md","references/configuration.md","references/connectors.md","references/headers.md","references/plugins.md","references/response-caching.md","references/telemetry.md","references/troubleshooting.md","templates/v1/development.yaml","templates/v1/production.yaml","templates/v1/sections/auth.yaml","templates/v1/sections/cors.yaml","templates/v1/sections/headers.yaml","templates/v1/sections/limits.yaml","templates/v1/sections/telemetry.yaml","templates/v1/sections/traffic-shaping.yaml","templates/v2/development.yaml","templates/v2/production.yaml","templates/v2/sections/auth.yaml","templates/v2/sections/connectors.yaml","templates/v2/sections/cors.yaml","templates/v2/sections/headers.yaml","templates/v2/sections/limits.yaml","templates/v2/sections/response-caching.yaml","templates/v2/sections/telemetry.yaml","templates/v2/sections/traffic-shaping.yaml","validation/checklist.md"]},{"name":"apollo-router-plugin-creator","description":"Guide for writing Apollo Router native Rust plugins. Use this skill when: (1) users want to create a new router plugin, (2) users want to add service hooks (router_service, supergraph_service, execution_service, subgraph_service), (3) users want to modify an existing router plugin, (4) users need to","files":["SKILL.md","references/examples.md","references/existing-plugins.md","references/service-hooks.md"]},{"name":"apollo-server","description":"Guide for building GraphQL servers with Apollo Server 5.x. Use this skill when: (1) setting up a new Apollo Server project, (2) writing resolvers or defining GraphQL schemas, (3) implementing authentication or authorization, (4) creating plugins or custom data sources, (5) troubleshooting Apollo Ser","files":["SKILL.md","references/context-and-auth.md","references/data-sources.md","references/error-handling.md","references/plugins.md","references/resolvers.md","references/troubleshooting.md"]},{"name":"app-sdk-concepts","description":"Use when starting any grafana-app-sdk work — scaffolding a Grafana app, initializing a Grafana App Platform app, picking a deployment mode (standalone operator / grafana/apps / frontend-only), wiring app-specific config, or onboarding to the SDK. Covers `grafana-app-sdk` CLI install, `project init` ","files":["SKILL.md","references/cli-reference.md","references/deployment-modes.md","references/local-config.md","references/local-development.md","references/project-structure.md","references/specific-config.md"]},{"name":"app-store-changelog","description":"Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store \"What's New\" text, or release notes based on git history or tags.","files":["SKILL.md","agents/openai.yaml","references/release-notes-guidelines.md","scripts/collect_release_changes.sh"]},{"name":"appcircle-automation","description":"Automate Appcircle tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"appdrag-automation","description":"Automate Appdrag tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"appfunctions","description":"Analyzes Android apps to identify key user workflows for AppFunctions","files":["SKILL.md","references/adb-interaction-testing.md","references/context.md","references/feature-discovery-analysis.md","references/implementation-configuration.md","references/kdoc-refinement-optimization.md","references/migrate-to-service-entry-point.md"]},{"name":"appinsights-instrumentation","description":"Instrument a webapp to send useful telemetry data to Azure App Insights","files":["SKILL.md","LICENSE.txt","references/ASPNETCORE.md","references/AUTO.md","references/NODEJS.md","references/PYTHON.md","scripts/appinsights.ps1"]},{"name":"appium-skill","description":"Generates production-grade Appium mobile automation scripts for Android and iOS in Java, Python, or JavaScript. Supports real device and emulator testing locally and on TestMu AI cloud with 100+ real devices. Use when the user asks to automate mobile apps, test on Android/iOS, write Appium tests, or","files":["SKILL.md","reference/cloud-integration.md","reference/hybrid-apps.md","reference/ios-specific.md","reference/javascript-patterns.md","reference/playbook.md","reference/python-patterns.md"]},{"name":"apple-appstore-reviewer","description":"Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.","files":["SKILL.md"]},{"name":"application-design-center-design-deploy","description":"Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"astropy","description":"Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.","files":["SKILL.md","references/coordinates.md","references/cosmology.md","references/fits.md","references/review.md","references/tables.md","references/time.md","references/units.md","references/wcs_and_other_modules.md"]},{"name":"async-interview-automation","description":"Automate Async Interview tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"async-python-patterns","description":"Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. 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Use when implementing audit trail requirements.","files":["SKILL.md"]},{"name":"audit-prep-assistant","description":"Prepares codebases for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates documentation (flowcharts, user stories, inline comments). Use when preparing your own codebase ","files":["SKILL.md","agents/openai.yaml"]},{"name":"auth","description":"Implement JWT/cookie authentication and authorization in tRPC using createContext for user extraction, t.middleware with opts.next({ ctx }) for context narrowing to non-null user, protectedProcedure base pattern, client-side Authorization headers via httpBatchLink headers(), WebSocket connectionPara","files":["SKILL.md"]},{"name":"auth-implementation-patterns","description":"Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.","files":["SKILL.md","references/details.md"]},{"name":"auth0-automation","description":"Automate Auth0 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"authenticated-session-acquisition","description":"Acquire an authenticated session THROUGH MFA/OTP on an in-scope target and emit a reusable session artifact (Playwright storageState + Bearer) so executors can test the post-auth attack surface. Use when the highest-value authenticated classes (BOLA/IDOR/mass-assignment/injection on the real data AP","files":["SKILL.md","reference/session-acquisition.md"]},{"name":"authoring-mwaa-workflow","description":"Authors and deploys MWAA workflow artifacts: Python Airflow DAGs for provisioned environments or YAML workflow files for Serverless. Covers operator selection, timeout design, retry strategy, scheduling, failure notifications, idempotency, and MWAA Serverless schema compliance. Deploys the artifact ","files":["SKILL.md","references/authoring-provisioned-dag.md","references/authoring-serverless-workflow.md","references/dag-patterns.md","references/deploying-mwaa.md","references/serverless-code-packaging.md","references/yaml-schema.md"]},{"name":"auto-animate","description":"AutoAnimate (@formkit/auto-animate) zero-config animations for React. Use for list transitions, accordions, toasts, or encountering SSR errors, animation libraries complexity.","files":["SKILL.md","assets/example-template.txt","references/auto-animate-vs-motion.md","references/css-conflicts.md","references/example-reference.md","references/ssr-patterns.md","scripts/example-script.sh","scripts/init-auto-animate.sh"]},{"name":"autobound-automation","description":"Automate Autobound tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"autom-automation","description":"Automate Autom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"automation-audit-ops","description":"Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.","files":["SKILL.md"]},{"name":"autonomous-agent-harness","description":"Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuou","files":["SKILL.md"]},{"name":"autonomous-loops","description":"Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems. Retained for compatibility only: when new autonomous loop guidance is needed, use continuous-agent-loop instead.","files":["SKILL.md"]},{"name":"autopilot","description":"Full autonomous execution from idea to working code","files":["SKILL.md"]},{"name":"autoplan","description":"Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)","files":["SKILL.md","bin/guard-journal.ts","bin/guard-log.ts","bin/guard-reasons.ts","bin/owned-read.ts","bin/phase-publication-hook.ts","sections/ceo-phase.md","sections/design-phase.md","sections/dx-phase.md","sections/eng-phase.md","sections/manifest.json","sections/phase-close.md","sections/tasks-aggregator.md","sections/unattended.md"]},{"name":"autoresearch","description":"Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior","files":["SKILL.md"]},{"name":"avoid-ai-writing","description":"Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a","files":["SKILL.md","references/pattern-catalog.md","references/profiles.md","references/word-tiers.md"]},{"name":"awq-quantization","description":"Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys ","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"aws-ami-builder","description":"Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.","files":["SKILL.md"]},{"name":"aws-amplify","description":"Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always","files":["SKILL.md","references/ai.md","references/auth-backend.md","references/auth-mobile.md","references/auth-web.md","references/data-backend.md","references/data-mobile.md","references/data-web.md","references/deployment.md","references/functions-and-api.md","references/geo-pubsub-cdk.md","references/scaffolding.md","references/storage-backend.md","references/storage-mobile.md","references/storage-web.md"]},{"name":"aws-architecture-diagram","description":"Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing i","files":["SKILL.md","references/aws4-shapes-resources.md","references/aws4-shapes-services.md","references/cli-export.md","references/diagram-templates-advanced.md","references/diagram-templates-basic.md","references/general-icons.md","references/group-styles.md","references/layout-guidelines.md","references/post-processing.md","references/style-guide.md","references/xml-rules.md","references/xml-templates-examples.md","references/xml-templates-structure.md"]},{"name":"aws-auth","description":"Adds user authentication to web and mobile apps with Amazon Cognito (user pools and identity pools) and the AWS Amplify client auth libraries. 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Triggers on:\nAWS bil","files":["SKILL.md","references/budgets.md","references/cost-audit.md","references/cost-explorer.md","references/cost-optimization-hub.md","references/cur-athena.md","references/deterministic-calculations.md","references/ebs-optimization.md","references/ec2-rightsizing.md","references/free-tier.md","references/lambda-optimization.md","references/pricing-lookup.md","references/rds-optimization.md","references/reserved-instances.md","references/savings-plans.md","references/service-optimization.md"]},{"name":"aws-blocks","description":"Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Bloc","files":["SKILL.md"]},{"name":"aws-cdk","description":"Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Applies when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning","files":["SKILL.md","references/bootstrap-and-project-setup.md","references/compliance-and-drift.md","references/construct-patterns.md","references/fast-deployments.md","references/import-and-migrate.md","references/refactor-and-prevent-replacement.md","references/troubleshooting-credentials.md","references/troubleshooting-deployment.md","references/troubleshooting-synth.md","references/v1-to-v2-migration.md"]},{"name":"aws-cdk-python-setup","description":"Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.","files":["SKILL.md"]},{"name":"aws-cleanrooms","description":"Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issu","files":["SKILL.md","references/custom-model-logging-debugging.md","references/permission-debugging.md"]},{"name":"aws-cloudtrail","description":"Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.","files":["SKILL.md"]},{"name":"aws-cloudwatch-investigation","description":"Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns for structured incident triage.","files":["SKILL.md"]},{"name":"aws-compute","description":"Provisions, scales, and operates Amazon EC2 virtual-machine workloads: instance-type selection (Graviton/Arm64, burstable T credits, GPU, instance store vs EBS), launch templates, Auto Scaling groups (scaling policies, instance refresh, mixed instances, Spot, warm pools, lifecycle hooks), IMDSv2, pl","files":["SKILL.md","references/ami-management.md","references/auto-scaling.md","references/instance-selection.md","references/provisioning.md","references/systems-manager.md","references/troubleshooting.md"]},{"name":"aws-containers","description":"Builds and deploys containerized workloads on Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Fargate, and ECR (Elastic Container Registry). Covers general EKS knowledge, Karpenter, AWS Load Balancer Controller and leveraging various open source Kubernetes projects with EKS. Cover","files":["SKILL.md","references/action-logs.md","references/beanstalk-configuration.md","references/beanstalk-platforms.md","references/beanstalk.md","references/ecr.md","references/ecs-managing-compute.md","references/ecs-workloads.md","references/ecs.md","references/eks-auto-mode.md","references/eks-capabilities.md","references/eks-control-plane.md","references/eks-load-balancer-controller.md","references/eks-managing-compute.md","references/eks-networking.md","references/eks.md"]},{"name":"aws-cost-optimization","description":"Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.","files":["SKILL.md"]},{"name":"aws-cost-optimize","description":"Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.","files":["SKILL.md"]},{"name":"aws-database","description":"Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures for relati","files":["SKILL.md","assets/aurora-dsql.md","assets/aurora-mysql.md","assets/aurora-postgresql.md","assets/documentdb.md","assets/dynamodb.md","assets/elasticache.md","assets/keyspaces.md","assets/memorydb.md","assets/neptune.md","assets/odb-aws.md","assets/rds-db2.md","assets/rds-mariadb.md","assets/rds-mysql.md","assets/rds-oracle.md","assets/rds-postgresql.md","assets/rds-sqlserver.md","assets/timestream.md","references/handoff.md","references/report-issue.md","references/select.md"]},{"name":"aws-ec2","description":"Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.","files":["SKILL.md","references/ec2-operations.md"]},{"name":"aws-ecs-fargate","description":"Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.","files":["SKILL.md"]},{"name":"aws-fault-injection-service","description":"Plans, builds, runs, and analyzes fault injection experiments with AWS Fault Injection Service (AWS FIS) to validate application resilience through chaos engineering. Covers experiment templates (actions, targets, stop conditions), the FIS actions catalog and action selection, the scenario library (","files":["SKILL.md","references/fis-actions-reference.md","references/fis-api-reference.md","references/fis-concepts.md","references/fis-security.md","references/fis-workflow.md"]},{"name":"aws-iam","description":"Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from a","files":["SKILL.md","references/aws-iam-policy-generation.md","references/aws-iam-role-management.md","references/common-pitfalls.md","references/service-authorization.md"]},{"name":"aws-lambda","description":"Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to A","files":["SKILL.md","references/event-driven-architecture.md","references/event-sources.md","references/getting-started.md","references/observability.md","references/optimization.md","references/orchestration-and-workflows.md","references/powertools.md","references/troubleshooting.md","references/web-app-deployment.md"]},{"name":"aws-lambda-durable-functions","description":"Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing","files":["SKILL.md","references/advanced-error-handling.md","references/advanced-patterns.md","references/concurrent-operations.md","references/deployment-iac.md","references/error-handling.md","references/getting-started.md","references/replay-model-rules.md","references/step-operations.md","references/testing-patterns.md","references/troubleshooting-executions.md","references/wait-operations.md"]},{"name":"aws-lambda-managed-instances","description":"Evaluates, configures, and migrates workloads to AWS Lambda Managed Instances (LMI). Runs Lambda functions on EC2 instances in the user's account while AWS manages provisioning, patching, scaling, routing, and load balancing. Triggers when queries mention Lambda Managed Instances, LMI, capacity prov","files":["SKILL.md","assets/sqs-processor/template.yaml","references/configuration-guide.md","references/cost-comparison.md","references/infrastructure-setup.md","references/migration-patterns.md","references/thread-safety.md","references/troubleshooting.md"]},{"name":"aws-lambda-microvms","description":"Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbo","files":["SKILL.md","references/getting-started.md","references/iam-and-security.md","references/lifecycle-model.md","references/networking.md","references/snapshots-and-uniqueness.md","references/troubleshooting.md"]},{"name":"aws-messaging-and-streaming","description":"Guides general use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when reasoning about messagin","files":["SKILL.md"]},{"name":"aws-networking","description":"Routes AWS networking requests to the correct service skill for implementation. Covers Route 53 (DNS, health checks, routing policies, Resolver, DNS Firewall), CloudFront (caching, edge, OAC, mTLS, signed URLs), Transit Gateway (multi-VPC hub, segmentation, centralized egress), Direct Connect (hybri","files":["SKILL.md"]},{"name":"aws-rds","description":"Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.","files":["SKILL.md"]},{"name":"aws-resilience-lifecycle","description":"Guides the end-to-end AWS resilience lifecycle integrating Resilience Hub v2, Fault Injection Service, and Application Recovery Controller. Covers the Define → Test → Operate workflow: from policy creation through failure mode assessment, to FIS experiment validation, to ARC operational controls. Ap","files":["SKILL.md","references/api-reference.md","references/best-practices.md","references/lifecycle-workflow.md"]},{"name":"aws-resource-health-diagnose","description":"Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.","files":["SKILL.md"]},{"name":"aws-resource-query","description":"Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.","files":["SKILL.md"]},{"name":"aws-s3","description":"Configure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.","files":["SKILL.md"]},{"name":"aws-sdk-js-v3-usage","description":"AWS SDK for JavaScript v3 development patterns. Use when writing JavaScript or TypeScript code that uses AWS services via @aws-sdk/* packages (aws-sdk-js-v3), or when asked about schemas, runtime validation, serialization, or code generation in the context of the JS/TS AWS SDK.","files":["SKILL.md","references/clients.md","references/credentials.md","references/dynamodb.md","references/effective-practices.md","references/error-handling.md","references/lambda.md","references/performance.md","references/s3.md","references/schemas.md","references/sigv4a.md","references/typescript.md"]},{"name":"aws-sdk-python-usage","description":"AWS SDK for Python (boto3/botocore) development patterns. You MUST use this skill when writing Python code that uses AWS services via boto3 or botocore. This includes creating service clients or resources, configuring sessions and credentials, handling errors with ClientError, using paginators and w","files":["SKILL.md","references/configuration.md","references/credentials.md","references/dynamodb.md","references/error-handling.md","references/pagination.md","references/s3.md","references/waiters.md"]},{"name":"aws-sdk-swift-usage","description":"AWS SDK for Swift development patterns. Use when writing Swift code that uses AWS services via aws-sdk-swift package.","files":["SKILL.md"]},{"name":"aws-secrets-manager","description":"Store and rotate secrets in AWS Secrets Manager. Configure automatic rotation, access policies, and application integration. Use when managing secrets in AWS environments or requiring automatic credential rotation.","files":["SKILL.md","references/secrets-patterns.md"]},{"name":"aws-serverless","description":"Builds, deploys, manages, debugs, configures, and optimizes serverless applications on AWS using Lambda, API Gateway, Step Functions, EventBridge, and SAM/CDK. Covers cold starts, CORS debugging, event source mappings, troubleshooting, concurrency, SnapStart, Powertools, function URLs, EventBridge S","files":["SKILL.md","assets/powertools-handler.py","references/api-gateway.md","references/architecture.md","references/concurrency.md","references/deployment.md","references/event-sources.md","references/lambda.md","references/orchestration.md","references/production.md","references/troubleshooting.md"]},{"name":"aws-serverless-deployment","description":"AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection,","files":["SKILL.md","references/cdk-lambda-constructs.md","references/cdk-project-setup.md","references/cdk-serverless-patterns.md","references/sam-cdk-coexistence.md","references/sam-project-setup.md"]},{"name":"aws-social-messaging","description":"Manages WhatsApp messaging through AWS End User Messaging Social. Covers managing templates (create, update, delete, library), sending messages (utility/marketing/auth templates and freeform), uploading and managing media, configuring event destinations for delivery tracking, and troubleshooting del","files":["SKILL.md","references/configuring-event-destinations.md","references/managing-media.md","references/managing-templates.md","references/sending-messages.md","references/troubleshooting-delivery.md"]},{"name":"aws-step-functions","description":"Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map, Parallel, Pass, Wait, Succeed, Fail). Covers ASL syntax, JSONata data transformation and variables, Retry/Catch error handling, service inte","files":["SKILL.md","assets/compensation-saga-pattern.asl.json","assets/express-standard-handoff.asl.json","assets/human-in-the-loop-with-timeout-escalation.asl.json","assets/nested-map-parallel-structures.asl.json","assets/polling-loop-wait-check-choice.asl.json","assets/scatter-gather-with-partial-results.asl.json","assets/semaphore-concurrency-lock.asl.json","references/architecture-patterns.md","references/asl-state-types.md","references/error-handling.md","references/migrating-from-jsonpath-to-jsonata.md","references/processing-state-inputs-and-outputs.md","references/service-integrations.md","references/transforming-data.md","references/validation-and-testing.md"]},{"name":"aws-storage","description":"Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about storage services. Applies when a user asks where to store or archive data based on their usage patterns; which storage service","files":["SKILL.md","references/data-movement-and-protection-knowledge.md","references/ebs-knowledge.md","references/efs-knowledge.md","references/fsx-lustre-knowledge.md","references/fsx-ontap-knowledge.md","references/fsx-openzfs-knowledge.md","references/fsx-windows-knowledge.md","references/s3-express-knowledge.md","references/s3-files-knowledge.md","references/s3-general-purpose-knowledge.md","references/s3-tables-knowledge.md","references/s3-vectors-knowledge.md"]},{"name":"aws-vpc","description":"Design and implement VPCs and networking. Configure subnets, route tables, and security groups. Use when setting up AWS network infrastructure.","files":["SKILL.md"]},{"name":"aws-well-architected-review","description":"Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation. Supports full reviews (every","files":["SKILL.md","assets/report-template.md","references/discovery-procedure.md","references/evaluation-procedure.md","references/lens-guidance.md","references/phase-live-inventory.md","references/review-modes.md","references/risk-assessment.md","references/security-considerations.md"]},{"name":"axonaut-automation","description":"Automate Axonaut tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ayrshare-automation","description":"Automate Ayrshare tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"az-cost-optimize","description":"Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.","files":["SKILL.md"]},{"name":"azure-active-directory-b2c","description":"Expert knowledge for Azure Active Directory B2C development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building B2C user flows/custom policies, configur","files":["SKILL.md"]},{"name":"azure-advisor","description":"Expert knowledge for Azure Advisor development including best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Advisor alerts/digests, managing rec states, using workbooks, Resource Graph, or RBAC for access, and other Azu","files":["SKILL.md"]},{"name":"azure-ai","description":"Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to","files":["SKILL.md","references/auth-best-practices.md","references/sdk/azure-ai-contentsafety-java.md","references/sdk/azure-ai-contentsafety-py.md","references/sdk/azure-ai-contentsafety-ts.md","references/sdk/azure-ai-document-intelligence-dotnet.md","references/sdk/azure-ai-document-intelligence-ts.md","references/sdk/azure-ai-openai-dotnet.md","references/sdk/azure-ai-transcription-py.md","references/sdk/azure-ai-translation-text-py.md","references/sdk/azure-ai-translation-ts.md","references/sdk/azure-ai-vision-imageanalysis-java.md","references/sdk/azure-ai-vision-imageanalysis-py.md","references/sdk/azure-search-documents-dotnet.md","references/sdk/azure-search-documents-py.md","references/sdk/azure-search-documents-ts.md"]},{"name":"azure-ai-agents-persistent-dotnet","description":"Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agen","files":["SKILL.md"]},{"name":"azure-ai-agents-persistent-java","description":"Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.\nTriggers: \"PersistentAgentsClient\", \"persistent agents java\", \"agent threads java\", \"agent runs java\", \"streaming agents java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-anomalydetector-java","description":"Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-contentsafety-java","description":"Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text/image analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-contentsafety-py","description":"Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-contentsafety-ts","description":"Analyze text and images for harmful content using Azure AI Content Safety (@azure-rest/ai-content-safety). Use when moderating user-generated content, detecting hate speech, violence, sexual content, or self-harm, or managing custom blocklists.","files":["SKILL.md"]},{"name":"azure-ai-contentunderstanding-py","description":"Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.\nTriggers: \"azure-ai-contentunderstanding\", \"ContentUnderstandingClient\", \"multimodal analysis\", \"document extraction\", \"video analysis\", \"audio transcription\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-document-intelligence-dotnet","description":"Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: \"Document Intelligence\", \"DocumentIntelligenceClient\", \"","files":["SKILL.md"]},{"name":"azure-ai-document-intelligence-ts","description":"Extract text, tables, and structured data from documents using Azure Document Intelligence (@azure-rest/ai-document-intelligence). Use when processing invoices, receipts, IDs, forms, or building custom document models.","files":["SKILL.md"]},{"name":"azure-ai-formrecognizer-java","description":"Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence).\nUse for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models.\nTriggers: \"document intelligence java\", \"form recognizer java\", \"extract text from PDF ","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-language-conversations-py","description":"Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-ml-py","description":"Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.\nTriggers: \"azure-ai-ml\", \"MLClient\", \"workspace\", \"model registry\", \"training jobs\", \"datasets\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-openai-dotnet","description":"Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: \"Azure OpenAI\", \"AzureOpenAIClient\", \"ChatClient\", \"chat completions .NET\", \"GPT-4\", \"embeddings\", \"DALL-E\", \"Whisper","files":["SKILL.md"]},{"name":"azure-ai-projects-dotnet","description":"Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: \"AI Projects\", \"AIProjectClient\", \"Foundry project\", \"","files":["SKILL.md"]},{"name":"azure-ai-projects-java","description":"Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.\nTriggers: \"AIProjectClient java\", \"azure ai projects java\", \"Foundry project java\", \"ConnectionsClient\", \"DatasetsClient\", \"IndexesClient\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-projects-py","description":"Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is t","files":["SKILL.md","references/agents.md","references/api-reference.md","references/async-patterns.md","references/built-in-evaluators.md","references/connections.md","references/custom-evaluators.md","references/datasets-indexes.md","references/deployments.md","references/evaluation.md","references/tools.md","scripts/run_batch_evaluation.py"]},{"name":"azure-ai-projects-ts","description":"Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.","files":["SKILL.md","references/connections.md","references/evaluations.md"]},{"name":"azure-ai-textanalytics-py","description":"Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.\nTriggers: \"text analytics\", \"sentiment analysis\", \"entity recognition\", \"key phrase\", \"PII detection\", \"TextAnalyticsClient\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-transcription-py","description":"Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.\nTriggers: \"transcription\", \"speech to text\", \"Azure AI Transcription\", \"TranscriptionClient\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-translation-document-py","description":"Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.\nTriggers: \"document translation\", \"batch translation\", \"translate documents\", \"DocumentTranslationClient\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-translation-text-py","description":"Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-translation-ts","description":"Build translation applications using Azure Translation SDKs for JavaScript (@azure-rest/ai-translation-text, @azure-rest/ai-translation-document). Use when implementing text translation, transliteration, language detection, or batch document translation.","files":["SKILL.md"]},{"name":"azure-ai-vision","description":"Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Visio","files":["SKILL.md"]},{"name":"azure-ai-vision-imageanalysis-java","description":"Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-vision-imageanalysis-py","description":"Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-ai-voicelive-dotnet","description":"Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: \"voice live\", \"real-time voice\", \"VoiceLiveClient\", \"VoiceLiveSession\", \"","files":["SKILL.md"]},{"name":"azure-ai-voicelive-java","description":"Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.\nTriggers: \"VoiceLiveClient java\", \"voice assistant java\", \"real-time voice java\", \"audio streaming java\", \"voice activity detection java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-ai-voicelive-py","description":"Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, ","files":["SKILL.md","references/api-reference.md","references/examples.md","references/models.md"]},{"name":"azure-ai-voicelive-ts","description":"Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: \"voice live\", \"real-t","files":["SKILL.md","references/audio-streaming.md","references/function-calling.md"]},{"name":"azure-aigateway","description":"Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, confi","files":["SKILL.md","references/auth-best-practices.md","references/patterns.md","references/policies.md","references/sdk/azure-ai-contentsafety-py.md","references/sdk/azure-ai-contentsafety-ts.md","references/sdk/azure-mgmt-apimanagement-dotnet.md","references/sdk/azure-mgmt-apimanagement-py.md","references/troubleshooting.md"]},{"name":"azure-aks-edge-essentials","description":"Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing AKS Edge/Hybrid with Arc, ","files":["SKILL.md"]},{"name":"azure-analysis-services","description":"Expert knowledge for Azure Analysis Services development including troubleshooting. Use when resolving server connectivity, firewall/VNet, DNS, client connection, or network error issues, and other Azure Analysis Services related development tasks. Not for Azure Synapse Analytics (use azure-synapse-","files":["SKILL.md"]},{"name":"azure-anomaly-detector","description":"Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, limits & quotas, configuration, and deployment. Use when tuning Docker-based Anomaly Detector, ACI or IoT Edge deployments, univariate/multivariate APIs, or service limits, and other Azure AI Anomal","files":["SKILL.md"]},{"name":"azure-anyscale-on-azure","description":"Expert knowledge for Azure Anyscale On Azure development including limits & quotas, security, configuration, and deployment. Use when authoring ARM templates, hardening images, configuring Private Link, or checking Anyscale regional availability, and other Azure Anyscale On Azure related development","files":["SKILL.md"]},{"name":"azure-api-center","description":"Expert knowledge for Azure Api Center development including best practices, security, configuration, integrations & coding patterns, and deployment. Use when setting API auth, provisioning API Center, automating linting/registration, self-hosting the portal, or syncing with API gateways, and other A","files":["SKILL.md"]},{"name":"azure-api-management","description":"Expert knowledge for Azure API Management development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring APIM gateways, policies, VNets, self-hosted","files":["SKILL.md"]},{"name":"azure-app-configuration","description":"Expert knowledge for Azure App Configuration development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using feature flags, dynamic config refresh, snapshots, Key Vault integration, or CI","files":["SKILL.md"]},{"name":"azure-app-onboard-prereq","description":"Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app completeness, dependencies and local services, stack compatibility, and deployment feasibility. Answers questions about what your app needs before it can be deployed — framework","files":["SKILL.md","references/build-check.md","references/cloud-sdk-migration.md","references/completeness-check.md","references/component-mapping.md","references/dependency-compatibility.md","references/deployability-check.md","references/prereq-artifacts.md","references/prereq-schemas.ts","references/readiness-gate.md","references/remediation-protocol.md","references/session-protocol.md","references/session-schemas.ts","references/subagent-starter-scaffold.md","references/subscription-resolution.md","references/zero-code-path.md"]},{"name":"azure-app-service","description":"Expert knowledge for Azure App Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring App Service plans/slots, VNet integration, man","files":["SKILL.md"]},{"name":"azure-app-testing","description":"Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running Azure Load Testing, Playwright Workspaces, JMeter/","files":["SKILL.md"]},{"name":"azure-appconfiguration-java","description":"Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-appconfiguration-py","description":"Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.\nTriggers: \"azure-appconfiguration\", \"AzureAppConfigurationClient\", \"feature flags\", \"configuration\", \"key-value settings\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-appconfiguration-ts","description":"Build applications using Azure App Configuration SDK for JavaScript (@azure/app-configuration). Use when working with configuration settings, feature flags, Key Vault references, dynamic refresh, or centralized configuration management.","files":["SKILL.md"]},{"name":"azure-application-gateway","description":"Expert knowledge for Azure Application Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring App Gateway v2 listeners/routing, WAF/","files":["SKILL.md"]},{"name":"azure-application-network","description":"Expert knowledge for Azure Application Network development including decision making, and configuration. Use when enabling App Network logs, Azure Monitor metrics, AKS/App Gateway versioning, or upgrade compatibility, and other Azure Application Network related development tasks. Not for Azure Virtu","files":["SKILL.md"]},{"name":"azure-arc","description":"Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Arc-enabled Kubernetes, Arc SQL/data services, Agentic Retri","files":["SKILL.md"]},{"name":"azure-architecture","description":"Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS/microservices, hybrid/Arc, ","files":["SKILL.md"]},{"name":"azure-artifact-signing","description":"Expert knowledge for Azure Artifact Signing development including decision making, security, configuration, and integrations & coding patterns. Use when handling cert lifecycles, RBAC for signers, DGSSv2 migration, diagnostic logs, or CI/CD signing integration, and other Azure Artifact Signing relat","files":["SKILL.md"]},{"name":"azure-artifacts","description":"Expert knowledge for Azure Artifacts development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing feeds, upstream sources, .npmrc auth, GitHub Actions CI/CD, or package retention limits, and other A","files":["SKILL.md"]},{"name":"azure-attestation","description":"Expert knowledge for Azure Attestation development including troubleshooting, best practices, security, configuration, and deployment. Use when validating attestation tokens, authoring policies, enforcing SGX/TPM baselines, or configuring private endpoints, and other Azure Attestation related develo","files":["SKILL.md"]},{"name":"azure-automation","description":"Expert knowledge for Azure Automation development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building runbooks, DSC configs, Hybrid Runbook Workers, managed identities, or Automation d","files":["SKILL.md"]},{"name":"azure-backup","description":"Expert knowledge for Azure Backup development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when protecting Azure VMs, AKS, SQL/SAP HANA, Files/Blobs, or disks ","files":["SKILL.md"]},{"name":"azure-bastion","description":"Expert knowledge for Azure Bastion development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Bastion for AKS private clusters, VM scale sets, Entra ID auth, hub/spoke VNets","files":["SKILL.md"]},{"name":"azure-batch","description":"Expert knowledge for Azure Batch development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Batch pools, autoscale, private networking, CMK encr","files":["SKILL.md"]},{"name":"azure-blob-storage","description":"Expert knowledge for Azure Blob Storage development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing Blob tiers, configuring NFS/SFTP or BlobFuse, securing with SAS/RBAC, tuning per","files":["SKILL.md"]},{"name":"azure-blueprints","description":"Expert knowledge for Azure Blueprints development including troubleshooting, decision making, security, configuration, integrations & coding patterns, and deployment. Use when migrating off Blueprints, mapping to PBMM/ISO/SWIFT, automating via CLI/PowerShell/REST, or fixing deployment errors, and ot","files":["SKILL.md"]},{"name":"azure-boards","description":"Expert knowledge for Azure Boards development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing work items, Agile/Scrum processes, WIQL queries, Excel/Office integrations, or GitHub links, and o","files":["SKILL.md"]},{"name":"azure-bot-service","description":"Expert knowledge for Azure AI Bot Service development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Direct Line 3.0, configuring Teams/Web Chat channels, setting App Service bots, CI/CD, or App Ins","files":["SKILL.md"]},{"name":"azure-business-process-tracking","description":"Expert knowledge for Azure Business Process Tracking development including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and other Azure Business Process Tracking related development tasks. Not for Azure Monitor (u","files":["SKILL.md"]},{"name":"azure-cache-redis","description":"Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and deployment. Use when configuring geo-replication, persistence, VNet/private endpoints, Entra/RBAC auth, or ARM/Bicep deploym","files":["SKILL.md"]},{"name":"azure-carbon-optimization","description":"Expert knowledge for Azure Carbon Optimization development including troubleshooting, security, and integrations & coding patterns. Use when using Carbon Service REST API, Python exports, RBAC roles, emissions data quality, or dashboard issues, and other Azure Carbon Optimization related development","files":["SKILL.md"]},{"name":"azure-chaos-studio","description":"Expert knowledge for Chaos Studio development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when automating Chaos Studio via CLI/ARM, configuring faults/targets, securing networks/identity, or","files":["SKILL.md"]},{"name":"azure-cloud-adoption-framework","description":"Expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios. Use when planning AVD, SAP, Oracle, VM","files":["SKILL.md"]},{"name":"azure-cloud-hsm","description":"Expert knowledge for Azure Cloud Hsm development including troubleshooting, best practices, limits & quotas, security, and integrations & coding patterns. Use when configuring Cloud HSM auth/networking, PKCS#11 apps, X.509 cert storage, capacity limits, or cluster issues, and other Azure Cloud Hsm r","files":["SKILL.md"]},{"name":"azure-cloud-services","description":"Expert knowledge for Azure Cloud Services development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Cloud Services guest OS versions, Key Vault certs, .csdef/.cscfg configs, auto","files":["SKILL.md"]},{"name":"azure-cloud-shell","description":"Expert knowledge for Azure Cloud Shell development including troubleshooting, limits & quotas, and security. Use when handling Cloud Shell storage mounts, session limits, file persistence, private VNet access, or RBAC setup, and other Azure Cloud Shell related development tasks. Not for Azure Portal","files":["SKILL.md"]},{"name":"azure-cognitive-search","description":"Expert knowledge for Azure AI Search development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building indexes, skillsets, indexers, vector/semantic searc","files":["SKILL.md"]},{"name":"azure-communication-callautomation-java","description":"Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.","files":["SKILL.md","references/examples.md"]},{"name":"azure-communication-callingserver-java","description":"Azure Communication Services CallingServer (legacy) Java SDK. Note - This SDK is deprecated. Use azure-communication-callautomation instead for new projects. Only use this skill when maintaining legacy code.","files":["SKILL.md","references/examples.md"]},{"name":"azure-communication-chat-java","description":"Build real-time chat applications with Azure Communication Services Chat Java SDK. Use when implementing chat threads, messaging, participants, read receipts, typing notifications, or real-time chat features.","files":["SKILL.md","references/examples.md"]},{"name":"azure-communication-common-java","description":"Azure Communication Services common utilities for Java. Use when working with CommunicationTokenCredential, user identifiers, token refresh, or shared authentication across ACS services.","files":["SKILL.md","references/examples.md"]},{"name":"azure-communication-services","description":"Expert knowledge for Azure Communication Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ACS calling, chat, SMS, email, Teams i","files":["SKILL.md"]},{"name":"azure-communication-sms-java","description":"Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.","files":["SKILL.md","references/examples.md"]},{"name":"azure-compliance","description":"Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Ke","files":["SKILL.md","references/auth-best-practices.md","references/azqr-recommendations.md","references/azqr-remediation-patterns.md","references/azure-keyvault-expiration-audit.md","references/azure-quick-review.md","references/azure-resource-graph.md","references/sdk/azure-keyvault-certificates-rust.md","references/sdk/azure-keyvault-keys-rust.md","references/sdk/azure-keyvault-keys-ts.md","references/sdk/azure-keyvault-py.md","references/sdk/azure-keyvault-secrets-rust.md","references/sdk/azure-keyvault-secrets-ts.md","references/sdk/azure-security-keyvault-keys-dotnet.md","references/sdk/azure-security-keyvault-keys-java.md","references/sdk/azure-security-keyvault-secrets-java.md"]},{"name":"azure-compute-batch-java","description":"Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes.\nTriggers: \"BatchClient java\", \"azure batch java\", \"batch pool java\", \"batch job java\", \"HPC java\", \"parallel computing java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-confidential-ledger","description":"Expert knowledge for Azure Confidential Ledger development including troubleshooting, decision making, security, integrations & coding patterns, and deployment. Use when configuring ACL auth/attestation, integrating with Blob/Cosmos, using MST payloads, or deploying via ARM/Terraform, and other Azur","files":["SKILL.md"]},{"name":"azure-connector-namespace","description":"Expert knowledge for Azure Connector Namespace development including configuration. Use when setting up hosted MCP servers, defining Connector Namespace endpoints, auth settings, or runtime options, and other Azure Connector Namespace related development tasks. Not for Azure Service Connector (use a","files":["SKILL.md"]},{"name":"azure-container-apps","description":"Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using ACA auth, private networking, KEDA/Dapr scaling, ","files":["SKILL.md"]},{"name":"azure-container-instances","description":"Expert knowledge for Azure Container Instances development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when configuring ACI standby pools, static IP networking, GPU containers, secure ACR pu","files":["SKILL.md"]},{"name":"azure-container-registry","description":"Expert knowledge for Azure Container Registry development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ACR Tasks, geo-replication, connected r","files":["SKILL.md"]},{"name":"azure-container-storage","description":"Expert knowledge for Azure Container Storage development including troubleshooting, decision making, limits & quotas, security, and configuration. Use when configuring Elastic SAN-backed pools, CMK encryption, LRS/ZRS redundancy, volume resizing, or Prometheus/Grafana monitoring, and other Azure Con","files":["SKILL.md"]},{"name":"azure-containerregistry-py","description":"Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.\nTriggers: \"azure-containerregistry\", \"ContainerRegistryClient\", \"container images\", \"docker registry\", \"ACR\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-content-safety","description":"Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Safety APIs, Docker co","files":["SKILL.md"]},{"name":"azure-content-understanding","description":"Expert knowledge for Azure Content Understanding in Foundry Tools development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building Content Understanding analyzers, R","files":["SKILL.md"]},{"name":"azure-copilot","description":"Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when sizing VMs, generating Bicep/Terraform, configuring Cosmos DB chat storage, or designing Azure networks, an","files":["SKILL.md"]},{"name":"azure-cosmos-db","description":"Expert knowledge for Azure Cosmos DB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using NoSQL/Mongo/Cassandra APIs, change feed, multi-region ","files":["SKILL.md","configuration.md","deployment.md","integrations.md"]},{"name":"azure-cosmos-db-py","description":"Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth (DefaultAzureCredential + emulator), service layer classes with CRUD operations, partition key strategies, parameterized queries, or TDD patterns f","files":["SKILL.md","assets/conftest_template.py","assets/cosmos_client_template.py","assets/service_template.py","references/client-setup.md","references/error-handling.md","references/partitioning.md","references/service-layer.md","references/testing.md"]},{"name":"azure-cosmos-java","description":"Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.\nTriggers: \"CosmosClient java\", \"CosmosAsyncClient\", \"cosmos database java\", \"cosmosdb java\", \"document database java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-cosmos-py","description":"Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.\nTriggers: \"cosmos db\", \"CosmosClient\", \"container\", \"document\", \"NoSQL\", \"partition key\".","files":["SKILL.md","references/partitioning.md","references/query-patterns.md"]},{"name":"azure-cosmos-rust","description":"Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".","files":["SKILL.md"]},{"name":"azure-cosmos-ts","description":"Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure/cosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\",","files":["SKILL.md","references/bulk-operations.md","references/query-patterns.md"]},{"name":"azure-cost-management","description":"Expert knowledge for Cost Management development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Azure budgets/alerts, cost exports, tags/views, billing APIs, or reservations/savin","files":["SKILL.md"]},{"name":"azure-custom-vision","description":"Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, ","files":["SKILL.md"]},{"name":"azure-cyclecloud","description":"Expert knowledge for Azure CycleCloud development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when automating CycleCloud via API/CLI/SDK, configuring Slurm clusters, tuning HB","files":["SKILL.md"]},{"name":"azure-data-api-builder","description":"Expert knowledge for Azure Data Api Builder development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when exposing DB objects via REST/GraphQL, tuning paging/timeouts, securing auth/RLS, or d","files":["SKILL.md"]},{"name":"azure-data-box-family","description":"Expert knowledge for Azure Data Box development including troubleshooting, best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Data Box/Disk/Heavy for offline data copy, SMB/NFS uploads, REST APIs, CMKs/Key Vault, or NTFS ACL preservation, and","files":["SKILL.md"]},{"name":"azure-data-explorer","description":"Expert knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC/MI), automating cluster/schema deploy","files":["SKILL.md"]},{"name":"azure-data-factory","description":"Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IR/SSIS/SHIR, mapping data flows, SAP/SaaS co","files":["SKILL.md"]},{"name":"azure-data-manager-for-agri","description":"Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns. Use when setting up BYOL creds/Private Link, ag data ingestion/IoT, AI/nutrient APIs, throttling, or Event Grid logs, and other Azure Data Manag","files":["SKILL.md"]},{"name":"azure-data-science-vm","description":"Expert knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets","files":["SKILL.md"]},{"name":"azure-data-share","description":"Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, securing invitations, fixing share errors, configuring datasets, or deploying across regions, and other Azure Data Share relate","files":["SKILL.md"]},{"name":"azure-data-tables-java","description":"Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.","files":["SKILL.md","references/examples.md"]},{"name":"azure-data-tables-py","description":"Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.\nTriggers: \"table storage\", \"TableServiceClient\", \"TableClient\", \"entities\", \"PartitionKey\", \"RowKey\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-database-migration","description":"Expert knowledge for Azure Database Migration Service development including troubleshooting, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when planning Azure DMS migrations for MySQL, PostgreSQL, MongoDB, SSIS-to-Azure SQL, or hybrid workloads, and ","files":["SKILL.md"]},{"name":"azure-database-mysql","description":"Expert knowledge for Azure Database for MySQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning MySQL Flexible Server tiers, HA/DR, automa","files":["SKILL.md"]},{"name":"azure-database-postgresql","description":"Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Flexible Server, pgvector search, manage","files":["SKILL.md"]},{"name":"azure-ddos-protection","description":"Expert knowledge for Azure DDoS Protection development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when enabling DDoS IP/Network Protection, tuning policies, analyzing logs/metrics, or in","files":["SKILL.md"]},{"name":"azure-dedicated-hsm","description":"Expert knowledge for Azure Dedicated HSM development including troubleshooting, decision making, architecture & design patterns, security, integrations & coding patterns, and deployment. Use when configuring ExpressRoute IP SKUs, migrating Dedicated HSMs, securing HSM networks, or scripting HSM prov","files":["SKILL.md"]},{"name":"azure-defender-for-cloud","description":"Expert knowledge for Azure Defender For Cloud development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing VMs/containers/SQL, managing secure score,","files":["SKILL.md"]},{"name":"azure-defender-for-iot","description":"Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring OT sensors/micro agents, traffic mirrorin","files":["SKILL.md"]},{"name":"azure-deployment-environments","description":"Expert knowledge for Azure Deployment Environments development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when defining environment.yaml, configuring dev cen","files":["SKILL.md"]},{"name":"azure-deployment-preflight","description":"Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when","files":["SKILL.md","references/ERROR-HANDLING.md","references/REPORT-TEMPLATE.md","references/VALIDATION-COMMANDS.md"]},{"name":"azure-dev-box","description":"Expert knowledge for Azure Dev Box development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Dev Box images, configuring pools/catalogs, securing access (RBAC/SSO), managing quo","files":["SKILL.md"]},{"name":"azure-developer-cli","description":"Design, create, review, migrate, or troubleshoot Azure Developer CLI (azd) projects using current Microsoft guidance. Use for azd, azure.yaml, AZD templates, Bicep or Terraform under infra, AZD environments and secrets, hooks, deployment workflows, and azd-managed CI/CD.","files":["SKILL.md","examples/azure.yaml","references/iac-and-environments.md","references/official-docs.md","references/project-structure.md","references/security-cicd-operations.md"]},{"name":"azure-devops","description":"Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing org/projects, repos, pipelines, work items, dashboards","files":["SKILL.md"]},{"name":"azure-devtest-labs","description":"Expert knowledge for Azure DevTest Labs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing lab VM images, ARM/CI-CD automation, RBAC/Key Va","files":["SKILL.md"]},{"name":"azure-digital-twins","description":"Expert knowledge for Azure Digital Twins development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when modeling DTDL graphs, integrating IoT Hub/ADx, configuri","files":["SKILL.md"]},{"name":"azure-dns","description":"Expert knowledge for Azure DNS development including troubleshooting, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when automating DNS zones/records, configuring Private DNS/resolvers, enabling DNSSEC, or migrating","files":["SKILL.md"]},{"name":"azure-document-intelligence","description":"Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument APIs, custom/classification models, containers, managed","files":["SKILL.md"]},{"name":"azure-documentdb","description":"Expert knowledge for Azure DocumentDB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Mongo-compatible APIs, vector search, cross-region re","files":["SKILL.md"]},{"name":"azure-durable-task","description":"Expert knowledge for Azure Durable Task development including best practices, decision making, architecture & design patterns, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when choosing Durable storage backends, versioning orchestrations, using fan-out/fan-in, ","files":["SKILL.md"]},{"name":"azure-education-hub","description":"Expert knowledge for Azure Education Hub development including troubleshooting, and limits & quotas. Use when managing Azure for Students credits, yearly quotas, renewals, or Dev Tools for Teaching sign-in issues, and other Azure Education Hub related development tasks. Not for Azure Lab Services (u","files":["SKILL.md"]},{"name":"azure-elastic-san","description":"Expert knowledge for Azure Elastic SAN development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when creating Elastic SAN volumes, AVS datastores, iSCSI client","files":["SKILL.md"]},{"name":"azure-enclave","description":"Expert knowledge for Azure Enclave development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when building DMZ/AVD/AKS enclave apps, configuring RBAC/CMK, deploying via Bicep/ARM, or setting u","files":["SKILL.md"]},{"name":"azure-energy-data-services","description":"Expert knowledge for Azure Energy Data Services development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when configuring ADME metrics/partitions, choosing tiers, securing auth/ACLs/legal tags","files":["SKILL.md"]},{"name":"azure-event-grid","description":"Expert knowledge for Azure Event Grid development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Event Grid/MQTT namespaces, securing endpoints, routing eve","files":["SKILL.md"]},{"name":"azure-event-hubs","description":"Expert knowledge for Azure Event Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Kafka-compatible clients, Flink/Spark, geo-replicatio","files":["SKILL.md"]},{"name":"azure-eventgrid-dotnet","description":"Azure Event Grid SDK for .NET. Client library for publishing and consuming events with Azure Event Grid. Use for event-driven architectures, pub/sub messaging, CloudEvents, and EventGridEvents. Triggers: \"Event Grid\", \"EventGridPublisherClient\", \"CloudEvent\", \"EventGridEvent\", \"publish events .NET\",","files":["SKILL.md"]},{"name":"azure-eventgrid-java","description":"Build event-driven applications with Azure Event Grid SDK for Java. Use when publishing events, implementing pub/sub patterns, or integrating with Azure services via events.","files":["SKILL.md","references/examples.md"]},{"name":"azure-eventgrid-py","description":"Azure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.\nTriggers: \"event grid\", \"EventGridPublisherClient\", \"CloudEvent\", \"EventGridEvent\", \"publish events\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-eventhub-dotnet","description":"Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: \"Event Hubs\", \"event streaming\", ","files":["SKILL.md"]},{"name":"azure-eventhub-java","description":"Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.","files":["SKILL.md","references/examples.md"]},{"name":"azure-eventhub-py","description":"Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.\nTriggers: \"event hubs\", \"EventHubProducerClient\", \"EventHubConsumerClient\", \"streaming\", \"partitions\".","files":["SKILL.md","references/checkpointing.md","references/partitions.md","scripts/setup_consumer.py"]},{"name":"azure-eventhub-rust","description":"Azure Event Hubs library for Rust. Send and receive events for streaming data ingestion and batch processing.\nTriggers: \"event hubs rust\", \"ProducerClient rust\", \"ConsumerClient rust\", \"send event rust\", \"streaming rust\", \"eventhub rust\".","files":["SKILL.md"]},{"name":"azure-eventhub-ts","description":"Build event streaming applications using Azure Event Hubs SDK for JavaScript (@azure/event-hubs). Use when implementing high-throughput event ingestion, real-time analytics, IoT telemetry, or event-driven architectures with partitioned consumers.","files":["SKILL.md","references/checkpointing.md","references/event-processing.md"]},{"name":"azure-expressroute","description":"Expert knowledge for Azure ExpressRoute development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ExpressRoute circuits/gateways, BGP routing (","files":["SKILL.md"]},{"name":"azure-extended-zones","description":"Expert knowledge for Azure Extended Zones development including limits & quotas, security, and configuration. Use when registering subs, authoring Azure Policy, deploying Azure Firewall, CMK disk encryption, or quota requests, and other Azure Extended Zones related development tasks. Not for Azure V","files":["SKILL.md"]},{"name":"azure-external-attack-surface-management","description":"Expert knowledge for Azure External Attack Surface Management development including configuration. Use when filtering EASM inventory by ASN, domains, hosts, IPs, pages, SSL certs, or exporting findings to analytics tools, and other Azure External Attack Surface Management related development tasks. ","files":["SKILL.md"]},{"name":"azure-face","description":"Expert knowledge for Azure AI Face development including troubleshooting, best practices, decision making, limits & quotas, security, and integrations & coding patterns. Use when using Face detection, identification, verification, liveness, PersonGroup/Directory, or Face API quotas, and other Azure ","files":["SKILL.md"]},{"name":"azure-firewall","description":"Expert knowledge for Azure Firewall development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Azure Firewall rules, DNS proxy, TLS inspection, ","files":["SKILL.md"]},{"name":"azure-firewall-manager","description":"Expert knowledge for Azure Firewall Manager development including best practices, decision making, security, and configuration. Use when configuring DDoS plans, DNS proxy, FQDN/IP groups, WAF policies, or secured virtual hubs, and other Azure Firewall Manager related development tasks. Not for Azure","files":["SKILL.md"]},{"name":"azure-firmware-analysis","description":"Expert knowledge for Azure Firmware Analysis development including best practices, security, integrations & coding patterns, and deployment. Use when configuring RBAC/service principals, uploading firmware via CLI/PowerShell/Python, mapping results to Device Registry, reading SBOM paths, or deployin","files":["SKILL.md"]},{"name":"azure-fluid-relay","description":"Expert knowledge for Azure Fluid Relay development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AzureClient, audience APIs, JWT auth tokens, container recovery, or Static Web Apps hosting, and othe","files":["SKILL.md"]},{"name":"azure-front-door","description":"Expert knowledge for Azure Front Door development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring apex domains, rules engine, Private Link origin","files":["SKILL.md"]},{"name":"azure-functions","description":"Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring Functions to HTTP/storage/queues, securing with VNets/MI, tuning scaling, or deployin","files":["SKILL.md"]},{"name":"azure-hdinsight","description":"Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Amba","files":["SKILL.md"]},{"name":"azure-health-bot","description":"Expert knowledge for Azure Health Bot development including best practices, security, configuration, and integrations & coding patterns. Use when wiring Teams/SMS/WhatsApp channels, embedding web chat, calling external APIs, configuring handoff, or enforcing consent, and other Azure Health Bot relat","files":["SKILL.md"]},{"name":"azure-health-data-services","description":"Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM APIs, bulk import/export, de-ide","files":["SKILL.md"]},{"name":"azure-horizondb","description":"Expert knowledge for Azure Horizondb development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when tuning pgvector, azure_ai SQL functions, LangChain vector st","files":["SKILL.md"]},{"name":"azure-hpc-cache","description":"Expert knowledge for Azure HPC Cache development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring HPC Cache namespaces, NFS/Blob targets, client a","files":["SKILL.md"]},{"name":"azure-identity-dotnet","description":"Azure Identity library for .NET. Authentication library for Azure SDK clients using Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and developer credentials. Triggers: \"Azure Identity\", \"DefaultAzureCredential\", \"ManagedIdentityCredential\", \"ClientSecretCre","files":["SKILL.md"]},{"name":"azure-identity-java","description":"Azure Identity library for Java authentication with Azure services. Use when implementing DefaultAzureCredential, managed identity, service principal, or any Azure authentication pattern in Java applications.","files":["SKILL.md","references/examples.md"]},{"name":"azure-identity-py","description":"Azure Identity SDK for Python authentication with Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and token caching.\nTriggers: \"azure-identity\", \"DefaultAzureCredential\", \"authentication\", \"managed identity\", \"service principal\", \"credential\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-identity-rust","description":"Azure Identity library for Rust. Microsoft Entra ID authentication for all Azure SDK clients.\nTriggers: \"azure identity rust\", \"DeveloperToolsCredential\", \"authentication rust\", \"managed identity rust\", \"credential rust\", \"Entra ID rust\".","files":["SKILL.md"]},{"name":"azure-identity-ts","description":"Authenticate to Azure services using Azure Identity library for JavaScript (@azure/identity). Use when configuring authentication with DefaultAzureCredential, managed identity, service principals, or interactive browser login.","files":["SKILL.md","references/browser-auth.md","references/credential-types.md"]},{"name":"azure-image-builder","description":"Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.","files":["SKILL.md"]},{"name":"azure-immersive-reader","description":"Expert knowledge for Azure AI Immersive Reader development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning read-aloud/translation, storing user prefs, Entra auth setup, JS SDK integration, or language support, and other Azure AI","files":["SKILL.md"]},{"name":"azure-impact-reporting","description":"Expert knowledge for Azure Impact Reporting development including troubleshooting, configuration, and integrations & coding patterns. Use when wiring Impact Reporting to Monitor alerts, Logic Apps, Service Health, HPC Guest Health, or diagnostic logs, and other Azure Impact Reporting related develop","files":["SKILL.md"]},{"name":"azure-import-export","description":"Expert knowledge for Azure Import Export development including troubleshooting, limits & quotas, and security. Use when setting CMK via Key Vault, checking drive limits, validating prerequisites, or debugging Import/Export job failures, and other Azure Import Export related development tasks. Not fo","files":["SKILL.md"]},{"name":"azure-information-protection","description":"Expert knowledge for Azure Information Protection development including best practices, decision making, configuration, and deployment. Use when choosing Azure RMS vs AD RMS, deploying RMS connectors, migrating keys/policies, or configuring MSIPC clients, and other Azure Information Protection relat","files":["SKILL.md"]},{"name":"azure-internet-peering","description":"Expert knowledge for Azure Internet Peering development including troubleshooting. Use when validating Peering Service prefixes, checking prefix registration, verifying routing, or fixing reachability issues, and other Azure Internet Peering related development tasks. Not for Azure ExpressRoute (use","files":["SKILL.md"]},{"name":"azure-iot","description":"Expert knowledge for Azure IoT development including decision making, architecture & design patterns, and configuration. Use when managing Azure Device Registry X.509 PKI, ADR policies, IoT Hub cert revocation, or device schema namespaces, and other Azure IoT related development tasks. Not for Azure","files":["SKILL.md"]},{"name":"azure-iot-central","description":"Expert knowledge for Azure IoT Central development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing device templates, data exports, IoT Edge gateway","files":["SKILL.md"]},{"name":"azure-iot-edge","description":"Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring EFLOW devices, DPS/X.509 provisioning, gateway/ne","files":["SKILL.md"]},{"name":"azure-iot-hub","description":"Expert knowledge for Azure IoT Hub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IoT Hub/DPS routing, device twins, MQTT/AMQP clien","files":["SKILL.md"]},{"name":"azure-iot-operations","description":"Expert knowledge for Azure IoT Operations development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring MQTT/OPC UA data flows, WASM/ONNX processin","files":["SKILL.md"]},{"name":"azure-key-vault","description":"Expert knowledge for Azure Key Vault development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing secrets/keys, Managed HSM, Private Link, Entra ID a","files":["SKILL.md"]},{"name":"azure-keyvault","description":"Manage secrets and certificates in Azure Key Vault. Configure access policies, integrate with Azure services, and implement secure secret management. Use when managing secrets in Azure environments.","files":["SKILL.md"]},{"name":"azure-keyvault-certificates-rust","description":"Azure Key Vault Certificates library for Rust. Create, manage, and use X.509 certificates including self-signed and CA-issued.\nTriggers: \"keyvault certificates rust\", \"CertificateClient rust\", \"create certificate rust\", \"self-signed certificate rust\", \"X.509 rust\".","files":["SKILL.md"]},{"name":"azure-keyvault-keys-rust","description":"Azure Key Vault Keys library for Rust. Create, manage, and use cryptographic keys including RSA, EC, and HSM-protected keys.\nTriggers: \"keyvault keys rust\", \"KeyClient rust\", \"create key rust\", \"encrypt rust\", \"wrap key rust\", \"sign rust\".","files":["SKILL.md"]},{"name":"azure-keyvault-keys-ts","description":"Manage cryptographic keys using Azure Key Vault Keys SDK for JavaScript (@azure/keyvault-keys). Use when creating, encrypting/decrypting, signing, or rotating keys.","files":["SKILL.md","references/keys.md","references/secrets.md"]},{"name":"azure-keyvault-py","description":"Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage.\nTriggers: \"key vault\", \"SecretClient\", \"KeyClient\", \"CertificateClient\", \"secrets\", \"encryption keys\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-keyvault-secrets-rust","description":"Azure Key Vault Secrets library for Rust. Store and retrieve secrets, passwords, and API keys.\nTriggers: \"keyvault secrets rust\", \"SecretClient rust\", \"get secret rust\", \"set secret rust\", \"list secrets rust\".","files":["SKILL.md"]},{"name":"azure-keyvault-secrets-ts","description":"Manage secrets using Azure Key Vault Secrets SDK for JavaScript (@azure/keyvault-secrets). Use when storing and retrieving application secrets or configuration values.","files":["SKILL.md","references/keys.md","references/secrets.md"]},{"name":"azure-kubernetes-app-deploy","description":"Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existin","files":["SKILL.md","knowledge-packs/frameworks/aspnet-core.md","knowledge-packs/frameworks/django.md","knowledge-packs/frameworks/express.md","knowledge-packs/frameworks/fastapi.md","knowledge-packs/frameworks/flask.md","knowledge-packs/frameworks/go.md","knowledge-packs/frameworks/nestjs.md","knowledge-packs/frameworks/nextjs.md","knowledge-packs/frameworks/spring-boot.md","phases/quick-deploy.md","references/base-images.md","references/detection.md","references/rollback.md","references/safeguards.md","references/workload-identity.md","templates/github-actions/deploy.yml","templates/k8s/configmap.yaml","templates/k8s/deployment.yaml","templates/k8s/gateway.yaml","templates/k8s/hpa.yaml","templates/k8s/httproute.yaml","templates/k8s/ingress.yaml","templates/k8s/namespace.yaml","templates/k8s/networkpolicy.yaml","templates/k8s/pdb.yaml","templates/k8s/service.yaml","templates/k8s/serviceaccount.yaml","templates/mermaid/architecture-diagram.md","templates/mermaid/summary-dashboard.md"]},{"name":"azure-kubernetes-service","description":"Expert knowledge for Azure Kubernetes Service (AKS) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing AKS with Entra/RBAC, configuring Fle","files":["SKILL.md"]},{"name":"azure-kusto","description":"Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.","files":["SKILL.md"]},{"name":"azure-kusto-graph","description":"Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, ","files":["SKILL.md","references/EXAMPLES.md","references/KUSTO_EXPLORER_LAUNCH.md","references/SCENARIOS.md"]},{"name":"azure-kusto-irql","description":"Compose IRQL (Incident Response Query Language) queries for Kusto cybersecurity investigations. Translates natural language hunting questions into composable IRQL pipelines using Get_*, Extract_*, and Enrich_* functions. WHEN: IRQL query, security hunt, threat hunting KQL, incident response query, c","files":["SKILL.md","references/EXAMPLES.md","references/KUSTO_EXPLORER_LAUNCH.md"]},{"name":"azure-kusto-irql-graph","description":"Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language sourc","files":["SKILL.md","references/DEPLOY_IRQL_FUNCTIONS.md","references/EXAMPLES.md","references/KUSTO_EXPLORER_LAUNCH.md"]},{"name":"azure-lab-services","description":"Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring lab plans, VM templates/schedules, VNet-integ","files":["SKILL.md"]},{"name":"azure-language-service","description":"Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using CLU, custom/health NER, CQA, sentiment/PII APIs, or ","files":["SKILL.md"]},{"name":"azure-large-instances","description":"Expert knowledge for Azure Large Instances development including troubleshooting, limits & quotas, and integrations & coding patterns. Use when configuring Epic SKUs, sizing volume groups, tuning EHR storage, or resolving Epic–ALI connectivity/perf issues, and other Azure Large Instances related dev","files":["SKILL.md"]},{"name":"azure-lighthouse","description":"Expert knowledge for Azure Lighthouse development including decision making, security, configuration, integrations & coding patterns, and deployment. Use when configuring Lighthouse delegations, AOBO/PIM access, Arc/Sentinel integrations, policies/remediation, or Marketplace offers, and other Azure ","files":["SKILL.md"]},{"name":"azure-load-balancer","description":"Expert knowledge for Azure Load Balancer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring backend pools/rules, SNAT/outbound, dual-sta","files":["SKILL.md"]},{"name":"azure-local","description":"Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confi","files":["SKILL.md","references/docs-map.md","references/mcp-and-cli-tools.md","references/resource-types.md","references/safety-rules.md","workflows/networking-and-security/networking-and-security.md","workflows/operate-and-update/operate-and-update.md","workflows/plan-and-deploy/plan-and-deploy.md","workflows/troubleshooting/troubleshooting.md","workflows/workload-management/workload-management.md"]},{"name":"azure-local-multi-rack","description":"Plan, deploy, operate, and troubleshoot multi-rack (rack scale) deployments of Azure Local — preintegrated racks scaling to hundreds of machines, built on Network Fabric Controller, Cluster Manager, SAN storage, and managed network fabric. Use for the Microsoft.NetworkCloud and Microsoft.ManagedNetw","files":["SKILL.md","references/cli-and-prereqs.md","references/docs-map.md","references/resource-types.md","references/safety-rules.md","workflows/networking/networking.md","workflows/operate-and-monitor/operate-and-monitor.md","workflows/plan-and-deploy/plan-and-deploy.md","workflows/workload-management/workload-management.md"]},{"name":"azure-logic-apps","description":"Expert knowledge for Azure Logic Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Logic Apps with AI/OpenAI, SAP/B2B, private endpoi","files":["SKILL.md"]},{"name":"azure-machine-learning","description":"Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AutoML, Prompt Flow, online/batch endpoints, ve","files":["SKILL.md"]},{"name":"azure-managed-applications","description":"Expert knowledge for Azure Managed Applications development including limits & quotas, security, configuration, and deployment. Use when designing createUiDefinition UIs, JIT access, managed identities, StorageAccountSelector, or Bicep-based catalog publishing, and other Azure Managed Applications r","files":["SKILL.md"]},{"name":"azure-managed-grafana","description":"Expert knowledge for Azure Managed Grafana development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring MCP/AI Foundry dashboards, Prometheus/AKS or ADX data sources, private endpoints, or Enterprise upgrad","files":["SKILL.md"]},{"name":"azure-managed-lustre","description":"Expert knowledge for Azure Managed Lustre development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when mounting AML filesystems, linking Blob, using AKS CSI, setting quot","files":["SKILL.md"]},{"name":"azure-managed-redis","description":"Expert knowledge for Azure Managed Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when using Redis tiers, Entra ID auth, clustering/sharding, persistence/geo-re","files":["SKILL.md"]},{"name":"azure-maps","description":"Expert knowledge for Azure Maps development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Azure Maps Web/REST SDKs, geocoding, routing, traffic, weather tiles, or Power BI visual","files":["SKILL.md"]},{"name":"azure-maps-search-dotnet","description":"Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data. Triggers: \"Azure Maps\", \"MapsSearchClient\", \"MapsRoutingClient\", \"MapsRenderingClient\", \"geocoding .NET","files":["SKILL.md"]},{"name":"azure-messaging","description":"Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event pr","files":["SKILL.md"]},{"name":"azure-messaging-webpubsub-java","description":"Build real-time web applications with Azure Web PubSub SDK for Java. Use when implementing WebSocket-based messaging, live updates, chat applications, or server-to-client push notifications.","files":["SKILL.md","references/examples.md"]},{"name":"azure-messaging-webpubsubservice-py","description":"Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.\nTriggers: \"azure-messaging-webpubsubservice\", \"WebPubSubServiceClient\", \"real-time\", \"WebSocket\", \"pub/sub\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-metrics-advisor","description":"Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alerts/hooks, or calling Metrics Advisor REST/SDKs, and other Azure A","files":["SKILL.md"]},{"name":"azure-mgmt-apicenter-dotnet","description":"Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery. Use for creating API services, workspaces, APIs, versions, definitions, environments, deployments, and metadata schemas. Triggers: \"API Center\", \"ApiCenterService\", \"ApiCenterWorkspace\", \"","files":["SKILL.md"]},{"name":"azure-mgmt-apicenter-py","description":"Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.\nTriggers: \"azure-mgmt-apicenter\", \"ApiCenterMgmtClient\", \"API Center\", \"API inventory\", \"API governance\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-mgmt-apimanagement-dotnet","description":"Azure Resource Manager SDK for API Management in .NET. Use for MANAGEMENT PLANE operations: creating/managing APIM services, APIs, products, subscriptions, policies, users, groups, gateways, and backends via Azure Resource Manager. Triggers: \"API Management\", \"APIM service\", \"create APIM\", \"manage A","files":["SKILL.md","references/apis-operations.md","references/products-subscriptions.md","references/service-management.md"]},{"name":"azure-mgmt-apimanagement-py","description":"Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.\nTriggers: \"azure-mgmt-apimanagement\", \"ApiManagementClient\", \"APIM\", \"API gateway\", \"API Management\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-mgmt-applicationinsights-dotnet","description":"Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: \"Application Insights\", \"ApplicationInsights\", \"App Insights\", \"APM\", \"a","files":["SKILL.md"]},{"name":"azure-mgmt-arizeaiobservabilityeval-dotnet","description":"Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET). Use when managing Arize AI organizations \\non Azure via Azure Marketplace, creating/updating/deleting Arize resources, or integrating Arize ML observability \\ninto .NET applications. Triggers: \\\"Arize AI\\\", \\\"ML observabili","files":["SKILL.md"]},{"name":"azure-mgmt-botservice-dotnet","description":"Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: \"Bot Service\", \"BotResource\", \"Azure Bot\", \"DirectLine channel\", \"Teams channel\", \"bot management .NE","files":["SKILL.md"]},{"name":"azure-mgmt-botservice-py","description":"Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources.\nTriggers: \"azure-mgmt-botservice\", \"AzureBotService\", \"bot management\", \"conversational AI\", \"bot channels\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-mgmt-fabric-dotnet","description":"Azure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: \"Fabric capacity\", \"create capacity\", \"suspend capacity\", \"re","files":["SKILL.md"]},{"name":"azure-mgmt-fabric-py","description":"Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.\nTriggers: \"azure-mgmt-fabric\", \"FabricMgmtClient\", \"Fabric capacity\", \"Microsoft Fabric\", \"Power BI capacity\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-mgmt-mongodbatlas-dotnet","description":"Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK. Use when creating, updating, listing, or deleting MongoDB Atlas organizations through Azure Marketplace integration. This SDK manages the Azure-side organization resource, not Atlas clusters/datab","files":["SKILL.md"]},{"name":"azure-mgmt-weightsandbiases-dotnet","description":"Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: \"Weights and Biases\", \"W&B\", \"WeightsAndBiases\", \"ML experiment tracking\", \"model registry\", ","files":["SKILL.md"]},{"name":"azure-microsoft-discovery","description":"Expert knowledge for Azure Microsoft Discovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Discovery shared sessions, Bookshelf inde","files":["SKILL.md"]},{"name":"azure-microsoft-opentelemetry","description":"Expert knowledge for Azure Microsoft Opentelemetry development including configuration. Use when setting sampling, exporters, resource attributes, env vars, or tuning tracing/metrics behavior, and other Azure Microsoft Opentelemetry related development tasks. Not for Azure Monitor (use azure-monitor","files":["SKILL.md"]},{"name":"azure-microsoft-playwright-testing-ts","description":"Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.","files":["SKILL.md"]},{"name":"azure-migrate","description":"Expert knowledge for Azure Migrate development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when sizing and migrating VMs/SQL/PostgreSQL, configuring appliance","files":["SKILL.md"]},{"name":"azure-monitor-audit","description":"Configure Azure Monitor and Activity Log for auditing. Set up diagnostic settings and log analytics. Use when auditing Azure activity.","files":["SKILL.md"]},{"name":"azure-monitor-ingestion-java","description":"Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).\nTriggers: \"LogsIngestionClient java\", \"azure monitor ingestion java\", \"custom logs java\", \"DCR java\", \"data collection rule java\".","files":["SKILL.md","references/examples.md"]},{"name":"azure-monitor-ingestion-py","description":"Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.\nTriggers: \"azure-monitor-ingestion\", \"LogsIngestionClient\", \"custom logs\", \"DCR\", \"data collection rule\", \"Log Analytics\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-monitor-opentelemetry-exporter-java","description":"Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights.\nTriggers: \"AzureMonitorExporter java\", \"opentelemetry azure java\", \"application insights java otel\", \"azure monitor tracing java\".\nNote: This package is DEPRECATED. Mi","files":["SKILL.md","references/examples.md"]},{"name":"azure-monitor-opentelemetry-exporter-py","description":"Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.\nTriggers: \"azure-monitor-opentelemetry-exporter\", \"AzureMonitorTraceExporter\", \"AzureMonitorMetricExporter\", \"AzureMonitorLogExporter\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-monitor-opentelemetry-py","description":"Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.\nTriggers: \"azure-monitor-opentelemetry\", \"configure_azure_monitor\", \"Application Insights\", \"OpenTelemetry distro\", \"auto-instrumentation\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-monitor-opentelemetry-ts","description":"Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Application Insights.","files":["SKILL.md"]},{"name":"azure-monitor-query-java","description":"Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.\nTriggers: \"LogsQueryClient java\", \"MetricsQueryClient java\", \"kusto query java\", \"log analytics java\", \"azure monitor query java\".\nNote: This package is deprecated. Migrat","files":["SKILL.md","references/examples.md"]},{"name":"azure-monitor-query-py","description":"Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.\nTriggers: \"azure-monitor-query\", \"LogsQueryClient\", \"MetricsQueryClient\", \"Log Analytics\", \"Kusto queries\", \"Azure metrics\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-nat-gateway","description":"Expert knowledge for Azure NAT Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when planning SNAT port capacity, using flow logs, deploying NAT Gateway V2, integrating Azure ","files":["SKILL.md"]},{"name":"azure-netapp-files","description":"Expert knowledge for Azure NetApp Files development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying ANF for SAP HANA/Oracle, AVS datastores, AzAcSn","files":["SKILL.md"]},{"name":"azure-network-function-manager","description":"Expert knowledge for Azure Network Function Manager development including security, and configuration. Use when setting up NF Manager prerequisites, resource groups, managed identities, role assignments, or secure NF access, and other Azure Network Function Manager related development tasks. Not for","files":["SKILL.md"]},{"name":"azure-network-watcher","description":"Expert knowledge for Azure Network Watcher development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring VNet/NSG flow logs, Traffic Analytics, packet capture, Connection Monitor migration, or VPN monitoring","files":["SKILL.md"]},{"name":"azure-networking","description":"Expert knowledge for Azure Networking development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when designing VNets/VWAN, load balancers, firewalls/WAF, DDoS protection, or Virtual Network Manager policies, and other Azu","files":["SKILL.md"]},{"name":"azure-notification-hubs","description":"Expert knowledge for Azure Notification Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when integrating FCM/APNS/WNS, targeting devices/users, u","files":["SKILL.md"]},{"name":"azure-nutanix","description":"Expert knowledge for Azure Nutanix development including decision making. Use when selecting NC2 on Azure regions, VM SKUs, and planning capacity, performance, availability, or cost, and other Azure Nutanix related development tasks. Not for Azure VMware Solution (use azure-vmware-solution), Azure B","files":["SKILL.md"]},{"name":"azure-open-datasets","description":"Expert knowledge for Azure Open Datasets development including limits & quotas. Use when handling non-Spark dataset downloads, throttling behavior, quota limits, retry logic, or rate-limit workarounds, and other Azure Open Datasets related development tasks. Not for Azure Data Explorer (use azure-da","files":["SKILL.md"]},{"name":"azure-operator-nexus","description":"Expert knowledge for Azure Operator Nexus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when configuring Nexus fabric ACLs/BGP, securing RBAC/SSH, planning cluster placement, or di","files":["SKILL.md"]},{"name":"azure-operator-service-manager","description":"Expert knowledge for Azure Operator Service Manager development including troubleshooting, best practices, security, configuration, and integrations & coding patterns. Use when onboarding CNFs/VNFs, designing config groups, managing ACR artifacts, using ARM/CLI, or securing with Private Link, and ot","files":["SKILL.md"]},{"name":"azure-oracle","description":"Expert knowledge for Azure Oracle development including troubleshooting, security, and integrations & coding patterns. Use when configuring Oracle TDE with Azure Key Vault, fixing Oracle@Azure issues, or exporting Exadata logs to Azure Monitor/Sentinel, and other Azure Oracle related development tas","files":["SKILL.md"]},{"name":"azure-osconfig","description":"Expert knowledge for Azure Osconfig development including troubleshooting, security, configuration, and integrations & coding patterns. Use when running OSConfig via IoT for commands/networking, SSH Posture Control, agent health, or Windows security baselines, and other Azure Osconfig related develo","files":["SKILL.md"]},{"name":"azure-partner-solutions","description":"Expert knowledge for Azure Partner Solutions development including troubleshooting, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when integrating Confluent/MongoDB via Service Connector, managing Datadog/Dynatrace/Elastic/New Relic, or Palo Alto Cl","files":["SKILL.md"]},{"name":"azure-payment-hsm","description":"Expert knowledge for Azure Payment Hsm development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when configuring Payment HSM VNets/peering, FastPath, payShield Manager access, SKUs, HA/DR topologies, or traffic routing, ","files":["SKILL.md"]},{"name":"azure-peering-service","description":"Expert knowledge for Azure Peering Service development including limits & quotas. Use when validating prefix size, routing setup, BGP config, RPKI status, or AS number requirements, and other Azure Peering Service related development tasks. Not for Azure Internet Peering (use azure-internet-peering)","files":["SKILL.md"]},{"name":"azure-personalizer","description":"Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns. Use when choosing single vs multi-slot setups, tuning policies/exploration, using apprentice mode, explainability, or local inference, and o","files":["SKILL.md"]},{"name":"azure-pipelines","description":"Expert knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring YAML pipelines, agents, service connections, Key","files":["SKILL.md"]},{"name":"azure-planetary-computer-pro","description":"Expert knowledge for Microsoft Planetary Computer Pro development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using GeoCatalog/STAC APIs, configuring collections/tiles, securing access, integrating QGI","files":["SKILL.md"]},{"name":"azure-playwright-workspaces","description":"Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright","files":["SKILL.md"]},{"name":"azure-policy","description":"Expert knowledge for Azure Policy development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when authoring JSON policies, deploying via ARM/Bicep/Terraform, enforcing security b","files":["SKILL.md"]},{"name":"azure-portal","description":"Expert knowledge for Azure Portal development including troubleshooting, security, and configuration. Use when managing portal RBAC sharing, Intune/Entra mobile access, dashboard JSON, portal policies, or HAR diagnostics, and other Azure Portal related development tasks. Not for Azure Cloud Shell (u","files":["SKILL.md"]},{"name":"azure-postgres-ts","description":"Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package. Use for PostgreSQL queries, connection pooling, transactions, and Microsoft Entra ID (passwordless) authentication. Triggers: \"PostgreSQL\", \"postgres\", \"pg client\", \"node-postgres\",","files":["SKILL.md"]},{"name":"azure-pricing","description":"Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, ","files":["SKILL.md","references/COPILOT-STUDIO-RATES.md","references/COST-ESTIMATOR.md","references/REGIONS.md","references/SERVICE-NAMES.md"]},{"name":"azure-private-link","description":"Expert knowledge for Azure Private Link development including best practices, decision making, architecture & design patterns, limits & quotas, security, and configuration. Use when configuring Private Endpoints, DNS, NSGs/Firewall, Network Security Perimeters, or Azure Private Resolver, and other A","files":["SKILL.md"]},{"name":"azure-quantum","description":"Expert knowledge for Azure Quantum development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using QDK with Python/Q#, OpenQASM or hybrid jobs, Rigetti/Ion","files":["SKILL.md"]},{"name":"azure-queue-storage","description":"Expert knowledge for Azure Queue Storage development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring queue auth/encryption, monitoring metrics/logs, handling limits, or coding with Azure Queue SDKs, and other Azure Queue St","files":["SKILL.md"]},{"name":"azure-quotas","description":"Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: \\\"check quotas\\\", \\\"service limits\\\", \\\"current usage\\\", \\\"request quota increase\\\", \\\"quota exceeded\\\", \\\"validate capacity\\\", \\\"regional availability\\\", \\\"provisioning limits","files":["SKILL.md","references/advanced-commands.md","references/commands.md","scripts/check-quota.ps1","scripts/check-quota.sh"]},{"name":"azure-rbac","description":"Expert knowledge for Azure Role-based access control development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when defining custom/built-in roles, ABAC conditions, deny assignments, PIM, or ARM/Bicep-bas","files":["SKILL.md"]},{"name":"azure-redhat-openshift","description":"Expert knowledge for Azure Red Hat OpenShift development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying ARO/HCP clusters, configuring networking/s","files":["SKILL.md"]},{"name":"azure-relay","description":"Expert knowledge for Azure Relay development including troubleshooting, security, configuration, and integrations & coding patterns. Use when configuring Hybrid Connections, WCF relays, Entra ID/SAS auth, Private Link, or .NET/Node.js Relay clients, and other Azure Relay related development tasks. N","files":["SKILL.md"]},{"name":"azure-reliability","description":"Expert knowledge for Azure Reliability development including best practices, decision making, architecture & design patterns, limits & quotas, and deployment. Use when choosing Azure regions, availability zones, geo-paired deployments, Queue Storage limits, or Web PubSub apps, and other Azure Reliab","files":["SKILL.md"]},{"name":"azure-repos","description":"Expert knowledge for Azure Repos development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Git/TFVC repos, branch policies, PR checks/status, CodeQL/security ","files":["SKILL.md"]},{"name":"azure-resiliency","description":"Expert knowledge for Azure Resiliency development including security, configuration, and deployment. Use when configuring resiliency drills, backup/replication policies, Recovery Plans RBAC, or Infra Resiliency Manager coverage, and other Azure Resiliency related development tasks. Not for Azure Rel","files":["SKILL.md"]},{"name":"azure-resource-graph","description":"Expert knowledge for Azure Resource Graph development including troubleshooting, best practices, decision making, limits & quotas, configuration, and integrations & coding patterns. Use when querying via CLI/PowerShell/REST, using GET/LIST vs Query, handling paging/quotas, or Power BI ARG reports, a","files":["SKILL.md"]},{"name":"azure-resource-health-diagnose","description":"Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.","files":["SKILL.md"]},{"name":"azure-resource-lookup","description":"List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like \\\"list the websites in my subscription\\\", \\\"list my web apps\\\", \\\"show my app services\\\", \\\"list virtual machines\\\", \\\"list my VMs\\\", \\\"show storage accounts\\\", \\\"find container apps\\\", and \\\"what reso","files":["SKILL.md","references/azure-resource-graph.md"]},{"name":"azure-resource-manager","description":"Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when authoring Bicep/ARM templates, using CLI/SDK/REST, de","files":["SKILL.md"]},{"name":"azure-resource-manager-cosmosdb-dotnet","description":"Azure Resource Manager SDK for Cosmos DB in .NET. Use for MANAGEMENT PLANE operations: creating/managing Cosmos DB accounts, databases, containers, throughput settings, and RBAC via Azure Resource Manager. NOT for data plane operations (CRUD on documents) - use Microsoft.Azure.Cosmos for that. Trigg","files":["SKILL.md","references/account-management.md","references/sql-resources.md","references/throughput.md"]},{"name":"azure-resource-manager-durabletask-dotnet","description":"Azure Resource Manager SDK for Durable Task Scheduler in .NET. Use for MANAGEMENT PLANE operations: creating/managing Durable Task Schedulers, Task Hubs, and retention policies via Azure Resource Manager. Triggers: \"Durable Task Scheduler\", \"create scheduler\", \"task hub\", \"DurableTaskSchedulerResour","files":["SKILL.md"]},{"name":"azure-resource-manager-mysql-dotnet","description":"Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: \"MySQL\", \"MySqlFlexibleServer\", \"MySQL Flexible Server\", \"Azure Database for MySQL\", \"My","files":["SKILL.md"]},{"name":"azure-resource-manager-playwright-dotnet","description":"Azure Resource Manager SDK for Microsoft Playwright Testing in .NET. Use for MANAGEMENT PLANE operations: creating/managing Playwright Testing workspaces, checking name availability, and managing workspace quotas via Azure Resource Manager. NOT for running Playwright tests - use Azure.Developer.Micr","files":["SKILL.md"]},{"name":"azure-resource-manager-postgresql-dotnet","description":"Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: \"PostgreSQL\", \"PostgreSqlFlexibleServer\", \"PostgreSQL Flexible Server\", \"Azure","files":["SKILL.md"]},{"name":"azure-resource-manager-redis-dotnet","description":"Azure Resource Manager SDK for Redis in .NET. Use for MANAGEMENT PLANE operations: creating/managing Azure Cache for Redis instances, firewall rules, access keys, patch schedules, linked servers (geo-replication), and private endpoints via Azure Resource Manager. NOT for data plane operations (get/s","files":["SKILL.md"]},{"name":"azure-resource-manager-sql-dotnet","description":"Azure Resource Manager SDK for Azure SQL in .NET. Use for MANAGEMENT PLANE operations: creating/managing SQL servers, databases, elastic pools, firewall rules, and failover groups via Azure Resource Manager. NOT for data plane operations (executing queries) - use Microsoft.Data.SqlClient for that. T","files":["SKILL.md","references/database-operations.md","references/elastic-pools.md","references/server-management.md"]},{"name":"azure-resource-visualizer","description":"Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.","files":["SKILL.md","LICENSE.txt","assets/template-architecture.md"]},{"name":"azure-role-selector","description":"When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.","files":["SKILL.md","LICENSE.txt"]},{"name":"azure-route-server","description":"Expert knowledge for Azure Route Server development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, and configuration. Use when designing Route Server topologies, BGP peering/policies, route maps/filtering, RBAC, or capacity limits, and other Azu","files":["SKILL.md"]},{"name":"azure-sap","description":"Expert knowledge for SAP HANA on Azure Large Instances development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying HANA LIs, Azure Monitor for SAP,","files":["SKILL.md"]},{"name":"azure-search-documents-dotnet","description":"Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: \"Azure Search ","files":["SKILL.md","references/semantic-search.md","references/vector-search.md"]},{"name":"azure-search-documents-py","description":"Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.\nTriggers: \"azure-search-documents\", \"SearchClient\", \"SearchIndexClient\", \"vector search\", \"hybrid search\", \"semantic search\".","files":["SKILL.md","references/agentic-retrieval.md","references/semantic-ranking.md","references/vector-search.md","scripts/setup_agentic_retrieval.py","scripts/setup_vector_index.py"]},{"name":"azure-search-documents-ts","description":"Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.","files":["SKILL.md","references/semantic-ranking.md","references/vector-search.md"]},{"name":"azure-search-nav","description":"Builds an Azure portal deep link to a specific blade/menu item for supported Microsoft.ContainerService, Microsoft.Kubernetes, and Microsoft.Compute resources using the aks-search-direct-mid semantic search API. WHEN: 'find where in the Azure portal to do something', 'search the portal for an operat","files":["SKILL.md","references/Invoke-PortalSearchNav.ps1","references/README.md","references/resource-types.json"]},{"name":"azure-security","description":"Expert knowledge for Azure Security development including best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when configuring Azure antimalware, container SBOM/signing, CMK encryption, AKS/VM hardening, or Key Vault keys, and other Azure Sec","files":["SKILL.md"]},{"name":"azure-security-keyvault-keys-dotnet","description":"Azure Key Vault Keys SDK for .NET. Client library for managing cryptographic keys in Azure Key Vault and Managed HSM. Use for key creation, rotation, encryption, decryption, signing, and verification. Triggers: \"Key Vault keys\", \"KeyClient\", \"CryptographyClient\", \"RSA key\", \"EC key\", \"encrypt decryp","files":["SKILL.md"]},{"name":"azure-security-keyvault-keys-java","description":"Azure Key Vault Keys Java SDK for cryptographic key management. Use when creating, managing, or using RSA/EC keys, performing encrypt/decrypt/sign/verify operations, or working with HSM-backed keys.","files":["SKILL.md","references/examples.md"]},{"name":"azure-security-keyvault-secrets-java","description":"Azure Key Vault Secrets Java SDK for secret management. Use when storing, retrieving, or managing passwords, API keys, connection strings, or other sensitive configuration data.","files":["SKILL.md","references/examples.md"]},{"name":"azure-sentinel","description":"Expert knowledge for Azure Sentinel development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring data connectors, KQL analytics rules, Logic Apps ","files":["SKILL.md"]},{"name":"azure-service-bus","description":"Expert knowledge for Azure Service Bus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using queues/topics, sessions, autoforwarding chains, geo-","files":["SKILL.md"]},{"name":"azure-service-connector","description":"Expert knowledge for Azure Service Connector development including troubleshooting, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring Azure compute to Redis, databases, storage, messaging, AI services, or third‑party endpoints, and other Azure ","files":["SKILL.md"]},{"name":"azure-service-fabric","description":"Expert knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Service Fabric clusters, Reliable Services/Ac","files":["SKILL.md"]},{"name":"azure-service-health","description":"Expert knowledge for Azure Service Health development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when handling Service Health APIs, Resource Graph queries, webhooks, VM Resource Health, or retirement alerts, and other","files":["SKILL.md"]},{"name":"azure-servicebus-dotnet","description":"Azure Service Bus SDK for .NET. Enterprise messaging with queues, topics, subscriptions, and sessions. Use for reliable message delivery, pub/sub patterns, dead letter handling, and background processing. Triggers: \"Service Bus\", \"ServiceBusClient\", \"ServiceBusSender\", \"ServiceBusReceiver\", \"Service","files":["SKILL.md"]},{"name":"azure-servicebus-py","description":"Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.\nTriggers: \"service bus\", \"ServiceBusClient\", \"queue\", \"topic\", \"subscription\", \"message broker\".","files":["SKILL.md","references/dead-letter.md","references/patterns.md","scripts/setup_servicebus.py"]},{"name":"azure-servicebus-ts","description":"Build messaging applications using Azure Service Bus SDK for JavaScript (@azure/service-bus). Use when implementing queues, topics/subscriptions, message sessions, dead-letter handling, or enterprise messaging patterns.","files":["SKILL.md","references/error-handling.md","references/queues-topics.md"]},{"name":"azure-signalr-service","description":"Expert knowledge for Azure SignalR Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring SignalR modes, upstreams, private endpoint","files":["SKILL.md"]},{"name":"azure-site-recovery","description":"Expert knowledge for Azure Site Recovery development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning ASR for VMware/Hyper-V, Azure-to-Azure DR, SAP/","files":["SKILL.md"]},{"name":"azure-smart-city-iot-solution-builder","description":"Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.","files":["SKILL.md","references/smart-city-solution-template.md"]},{"name":"azure-sovereign-us","description":"Expert knowledge for Azure US Government development including decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when choosing Azure Gov vs global, meeting FedRAMP/DoD needs, using SACA patterns, Gov CI/CD, or Gov marketplac","files":["SKILL.md"]},{"name":"azure-speech","description":"Expert knowledge for Azure Speech in Foundry Tools development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using STT/TTS, custom voice or avatars, Speech containers, Voice Live, or tele","files":["SKILL.md"]},{"name":"azure-speech-to-text-rest-py","description":"Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.\nTriggers: \"speech to text REST\", \"short audio transcription\", \"speech recognition REST API\", \"STT REST\", \"recognize speech REST\".\nDO NOT USE FOR: Long aud","files":["SKILL.md","references/pronunciation-assessment.md"]},{"name":"azure-spring-apps","description":"Expert knowledge for Azure Spring Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ASA networking/security, Tanzu tools, observab","files":["SKILL.md"]},{"name":"azure-sql-database","description":"Expert knowledge for Azure SQL Database development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Hyperscale, serverless tiers, Always Encrypted, geo","files":["SKILL.md"]},{"name":"azure-sql-managed-instance","description":"Expert knowledge for Azure SQL Managed Instance development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring MI networking, backups/restore, geo-r","files":["SKILL.md"]},{"name":"azure-sql-virtual-machines","description":"Expert knowledge for SQL Server on Azure Virtual Machines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when planning SQL VM vs Managed Instance, Al","files":["SKILL.md"]},{"name":"azure-sre-agent","description":"Expert knowledge for Azure Sre Agent development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when wiring SRE Agent to DevOps/GitHub, KQL telemetry, AKS Java apps, IaC deployme","files":["SKILL.md"]},{"name":"azure-stack-edge","description":"Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying IoT Edge modules, GPU/Kubernetes apps, DeepStream workloads, Arc GitOps, or local","files":["SKILL.md"]},{"name":"azure-static-web-apps","description":"Expert knowledge for Azure Static Web Apps development including troubleshooting, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring SWA APIs to Azure DBs, configuring custom domains/backends, Entra auth, CI/CD, or plan limits, ","files":["SKILL.md"]},{"name":"azure-storage","description":"Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, an","files":["SKILL.md","references/auth-best-practices.md","references/sdk-usage.md","references/sdk/azure-data-tables-java.md","references/sdk/azure-data-tables-py.md","references/sdk/azure-storage-blob-java.md","references/sdk/azure-storage-blob-py.md","references/sdk/azure-storage-blob-rust.md","references/sdk/azure-storage-blob-ts.md","references/sdk/azure-storage-file-datalake-py.md","references/sdk/azure-storage-file-share-py.md","references/sdk/azure-storage-file-share-ts.md","references/sdk/azure-storage-queue-py.md","references/sdk/azure-storage-queue-ts.md"]},{"name":"azure-storage-blob-java","description":"Build blob storage applications with Azure Storage Blob SDK for Java. Use when uploading, downloading, or managing files in Azure Blob Storage, working with containers, or implementing streaming data operations.","files":["SKILL.md","references/examples.md"]},{"name":"azure-storage-blob-py","description":"Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.\nTriggers: \"blob storage\", \"BlobServiceClient\", \"ContainerClient\", \"BlobClient\", \"upload blob\", \"download blob\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-storage-blob-rust","description":"Azure Blob Storage library for Rust. Upload, download, and manage blobs and containers.\nTriggers: \"blob storage rust\", \"BlobClient rust\", \"upload blob rust\", \"download blob rust\", \"storage container rust\", \"BlobServiceClient rust\".","files":["SKILL.md"]},{"name":"azure-storage-blob-ts","description":"Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers. Supports block blobs, append blobs, page blobs, SAS tokens, and streaming. Triggers: \"blob storage\", \"@azure/storage-blob\", \"BlobService","files":["SKILL.md","references/sas-tokens.md","references/streaming.md"]},{"name":"azure-storage-file-datalake-py","description":"Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.\nTriggers: \"data lake\", \"DataLakeServiceClient\", \"FileSystemClient\", \"ADLS Gen2\", \"hierarchical namespace\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-storage-file-share-py","description":"Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.\nTriggers: \"azure-storage-file-share\", \"ShareServiceClient\", \"ShareClient\", \"file share\", \"SMB\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-storage-file-share-ts","description":"Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations. Use for creating shares, managing directories, uploading/downloading files, and handling file metadata. Supports Azure Files SMB protocol scenarios. Triggers: \"file share\", \"@azure/storage-file-shar","files":["SKILL.md"]},{"name":"azure-storage-queue-py","description":"Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.\nTriggers: \"queue storage\", \"QueueServiceClient\", \"QueueClient\", \"message queue\", \"dequeue\".","files":["SKILL.md","references/capabilities.md","references/non-hero-scenarios.md"]},{"name":"azure-storage-queue-rust","description":"Azure Queue Storage library for Rust. Send, receive, and manage queue messages.\nTriggers: \"queue storage rust\", \"QueueClient rust\", \"send message rust\", \"receive messages rust\", \"QueueServiceClient rust\", \"queue rust\".","files":["SKILL.md"]},{"name":"azure-storage-queue-ts","description":"Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: \"queue storage\", \"@azure/storage-queue\", \"QueueServi","files":["SKILL.md"]},{"name":"azure-stream-analytics","description":"Expert knowledge for Azure Stream Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ASA jobs with Event Hubs/Kafka, Cosmos/SQL o","files":["SKILL.md"]},{"name":"azure-synapse-analytics","description":"Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Synapse workspaces, SQL/dedicated pools, s","files":["SKILL.md"]},{"name":"azure-table-storage","description":"Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when securing Table Storage, tuning telemetry, planning scale limits, designing keys, or scripting with Pow","files":["SKILL.md"]},{"name":"azure-test-plans","description":"Expert knowledge for Azure Test Plans development including limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring test failure types, custom fields, retention, permissions, or tcm.exe-based test suite automation, and other Azure Test Plans related develop","files":["SKILL.md"]},{"name":"azure-traffic-manager","description":"Expert knowledge for Azure Traffic Manager development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when configuring Traffic Manager profiles, routing methods, IaC (ARM/Bicep/Terraform), T","files":["SKILL.md"]},{"name":"azure-translator","description":"Expert knowledge for Azure Translator development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using translate/detect/dictionary APIs, Custom Translator, glossaries, document jobs, or Do","files":["SKILL.md"]},{"name":"azure-update-manager","description":"Expert knowledge for Azure Update Manager development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when onboarding VMs/Arc servers, configuring patch schedules/ESU, using SDK/REST APIs, or in","files":["SKILL.md"]},{"name":"azure-verified-modules","description":"Azure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.","files":["SKILL.md"]},{"name":"azure-video-indexer","description":"Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring live camera analysis, custom AI insights, OpenAI summaries, Video Indexer","files":["SKILL.md"]},{"name":"azure-virtual-desktop","description":"Expert knowledge for Azure Virtual Desktop development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring host pools/FSLogix, autoscale, MSIX App At","files":["SKILL.md"]},{"name":"azure-virtual-machines","description":"Expert knowledge for Azure Virtual Machines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing VM/VMSS sizes, configuring disks/GPU/InfiniB","files":["SKILL.md","configuration.md","deployment.md","integrations.md"]},{"name":"azure-virtual-network","description":"Expert knowledge for Azure Virtual Network development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when configuring VNet IP/DNS, peering and routing, NSGs/service endpoints, MANA/CNI networking, or hybrid co","files":["SKILL.md"]},{"name":"azure-virtual-network-manager","description":"Expert knowledge for Azure Virtual Network Manager development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, and configuration. Use when managing AVNM network groups/topologies, IPAM pools, connectivity hubs, UDRs, or security admin rules, and ","files":["SKILL.md"]},{"name":"azure-virtual-wan","description":"Expert knowledge for Azure Virtual WAN development including troubleshooting, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring VWAN hubs, P2S/Always On VPN, BGP/IPsec routing, ExpressRoute/","files":["SKILL.md"]},{"name":"azure-vm-scalesets","description":"Expert knowledge for Azure Virtual Machine Scale Sets development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring autoscale, standby pools, PPG-b","files":["SKILL.md"]},{"name":"azure-vmware-solution","description":"Expert knowledge for Azure VMware Solution development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring AVS networking/storage, HCX migrations, Ho","files":["SKILL.md"]},{"name":"azure-vpn-gateway","description":"Expert knowledge for Azure VPN Gateway development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing VPN topologies, choosing SKUs, configuring P2S/S","files":["SKILL.md"]},{"name":"azure-web-application-firewall","description":"Expert knowledge for Azure Web Application Firewall development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Front Door/App Gateway WAF rules, geo/bot filters, rate limits, Sentinel logging, ","files":["SKILL.md"]},{"name":"azure-web-pubsub","description":"Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building WebSocket/MQTT apps, using Socket.IO, configuring ","files":["SKILL.md"]},{"name":"azure-web-pubsub-ts","description":"Build real-time messaging applications using Azure Web PubSub SDKs for JavaScript (@azure/web-pubsub, @azure/web-pubsub-client). Use when implementing WebSocket-based real-time features, pub/sub messaging, group chat, or live notifications.","files":["SKILL.md"]},{"name":"azure-well-architected","description":"Expert guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, HPC, SaaS, AVD/AVS workloads, cho","files":["SKILL.md"]},{"name":"azure-well-architected-review","description":"Perform an Azure Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.","files":["SKILL.md"]},{"name":"backend-patterns","description":"Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access.","files":["SKILL.md"]},{"name":"backendless-automation","description":"Automate Backendless tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"backtesting-frameworks","description":"Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.","files":["SKILL.md","references/details.md"]},{"name":"bannerbear-automation","description":"Automate Bannerbear tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bart-automation","description":"Automate Bart tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"base-ui-react","description":"MUI Base UI unstyled React components with Floating UI. Use for accessible components, Radix UI migration, render props API, or encountering positioning, popup, v1.0 rc / pre-GA issues.","files":["SKILL.md","assets/example-template.txt","references/example-reference.md","references/migration-from-radix.md","references/setup-guide.md","scripts/check-base-ui-version.sh","scripts/example-script.sh","scripts/migrate-radix-component.sh"]},{"name":"baselinker-automation","description":"Automate Baselinker tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"baserow-automation","description":"Automate Baserow tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bash-defensive-patterns","description":"Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.","files":["SKILL.md","references/details.md"]},{"name":"basin","description":"Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL name","files":["SKILL.md","references/catalog/README.md","references/catalog/api.md","references/catalog/configuration.md","references/catalog/gotchas.md","references/catalog/patterns.md","references/pipelines/README.md","references/pipelines/api.md","references/pipelines/configuration.md","references/pipelines/gotchas.md","references/pipelines/patterns.md","references/sql/README.md","references/sql/api.md","references/sql/configuration.md","references/sql/gotchas.md","references/sql/patterns.md"]},{"name":"basin-automation","description":"Automate Basin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"batch-files","description":"Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to \"create a batch file\", \"write a .bat script\", \"automate a Windows task\", \"CMD scripting\", \"batch automation\", \"scheduled task script\", \"Windows shell script\", or when working with","files":["SKILL.md","assets/executable.txt","assets/library.txt","assets/task.txt","references/batch-files-and-functions.md","references/cygwin.md","references/msys2.md","references/tools-and-resources.md","references/windows-commands.md","references/windows-subsystem-on-linux.md"]},{"name":"bats-testing-patterns","description":"Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.","files":["SKILL.md","references/details.md"]},{"name":"battlenet-automation","description":"Automate Battlenet tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bazel-build-optimization","description":"Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.","files":["SKILL.md","references/details.md"]},{"name":"bdi-mental-states","description":"This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.","files":["SKILL.md","references/bdi-ontology-core.md","references/framework-integration.md","references/rdf-examples.md","references/sparql-competency.md"]},{"name":"beaconchain-automation","description":"Automate Beaconchain tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"beaconstac-automation","description":"Automate Beaconstac tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"beamer-automation","description":"Automate Beamer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"beeminder-automation","description":"Automate Beeminder tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"before-you-build","description":"Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust","files":["SKILL.md","references/risk-checklist.md"]},{"name":"bench-automation","description":"Automate Bench tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bench-read","description":"Read artifacts from the shared bench — the workspace where desks leave findings, verdicts, and work products for each other and the operator.","files":["SKILL.md"]},{"name":"benchling-integration","description":"Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.","files":["SKILL.md","references/api_endpoints.md","references/authentication.md","references/core_capabilities.md","references/eventbridge.md","references/sdk_reference.md"]},{"name":"benchmark","description":"Web performance regression detection. (gstack)","files":["SKILL.md"]},{"name":"benchmark-email-automation","description":"Automate Benchmark Email tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"benchmark-methodology","description":"Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client tension) with 1-5 evidence-anchored rubrics and a tension 2x2 plot. Use when benchmarking or s","files":["SKILL.md"]},{"name":"benchmark-optimization-loop","description":"Convert 'make it faster' requests into a bounded measured optimization loop — baseline first, generate one-hypothesis variants, benchmark each against a correctness gate, and promote the fastest safe variant with reproducible commands. Use when asked to speed something up, try many variants, run rec","files":["SKILL.md"]},{"name":"bengali-nlp","description":"Bengali (Bangla) text processing patterns including Unicode normalization, script detection, tokenization, conjunct handling, and Bangla-specific NLP best practices for AI applications.","files":["SKILL.md"]},{"name":"benzinga-automation","description":"Automate Benzinga tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bestbuy-automation","description":"Automate Bestbuy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"beta","description":"Clean fixture tool skill with no forced reads and no mode table.","files":["SKILL.md","agents.md"]},{"name":"better-accessibility","description":"Reviews and fixes keyboard and focus behavior, ARIA, accessible names, forms, screen-reader announcements, motion and zoom in your project against WCAG 2.2.","files":["SKILL.md","agents/openai.yaml","focus-and-keyboard.md","forms.md","hit-areas.md","motion-and-zoom.md","screen-readers.md","semantics-and-aria.md"]},{"name":"better-auth-best-practices","description":"Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.","files":["SKILL.md"]},{"name":"better-auth-security-best-practices","description":"Configure rate limiting, manage auth secrets, set up CSRF protection, define trusted origins, secure sessions and cookies, encrypt OAuth tokens, track IP addresses, and implement audit logging for Better Auth. Use when users need to secure their auth setup, prevent brute force attacks, or harden a B","files":["SKILL.md"]},{"name":"better-colors","description":"Helps you build and check a color system for your project. It generates palettes, names semantic tokens, converts between formats and measures contrast.","files":["SKILL.md","agents/openai.yaml","color-formats.md","color-usage.md","contrast.md","palette-generation.md","palette-structure.md","token-naming.md"]},{"name":"better-interface","description":"Combines all of the `better-*` skills into a single review across accessibility, layout, writing, typography, color and UI polish.","files":["SKILL.md","agents/openai.yaml","review-format.md"]},{"name":"better-layout","description":"Helps with grouping, alignment, reading order, responsive structure and room for translated text, so a layout holds up when it is resized, translated or mirrored.","files":["SKILL.md","agents/openai.yaml","grouping-and-alignment.md","spacing-and-adaptivity.md"]},{"name":"better-proposals-automation","description":"Automate Better Proposals tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"better-stack-automation","description":"Automate Better Stack tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"better-typography","description":"Sets and reviews how text renders in your product, from the type scale and spacing to font features, wrapping, truncation and punctuation.","files":["SKILL.md","agents/openai.yaml","choosing-fonts.md","css-cheat-sheet.md","details-and-accessibility.md","spacing-and-sizing.md","variable-fonts-and-opentype.md","wrapping-and-punctuation.md"]},{"name":"better-ui","description":"Polishes the surfaces, icons and motion in your project with exact values for border radius, optical alignment, shadows, icon states and animation.","files":["SKILL.md","agents/openai.yaml","animations.md","enter-exit.md","icon-transitions.md","icons.md","performance.md","surfaces.md"]},{"name":"better-writing","description":"Writes and reviews your interface copy, from labels and errors to empty states and confirmations, so it matches your product's voice and tells people what to do next.","files":["SKILL.md","agents/openai.yaml","patterns.md"]},{"name":"beyla","description":"Auto-instrument an application's HTTP / gRPC / DB traffic with Grafana Beyla eBPF — no code changes, no SDK, no restart. Covers requirements (Linux 5.8+ with BTF, CAP_SYS_ADMIN, host PID), language matrix (Go / Java / Python / Ruby / Node / .NET / Rust / C++ / PHP), Docker + Helm + DaemonSet install","files":["SKILL.md","references/config.md","references/kubernetes.md"]},{"name":"bgpt-paper-search","description":"Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Use for literature reviews, evidence synthesis, and finding experimental details beyond abstracts.","files":["SKILL.md"]},{"name":"bidsketch-automation","description":"Automate Bidsketch tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"big-data-cloud-automation","description":"Automate Big Data Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bigmailer-automation","description":"Automate Bigmailer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bigml-automation","description":"Automate Bigml tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bigpicture-io-automation","description":"Automate Bigpicture IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bigquery-ai-ml","description":"Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, cal","files":["SKILL.md","references/ai_agg.md","references/ai_causal_effect.md","references/ai_classify.md","references/ai_detect_anomalies.md","references/ai_evaluate.md","references/ai_forecast.md","references/ai_generate.md","references/ai_generate_embedding.md","references/ai_generate_table.md","references/ai_if.md","references/ai_key_drivers.md","references/ai_score.md","references/ai_search.md","references/ai_similarity.md","references/ml_contribution_analysis.md","references/ml_correlation.md","references/ml_detect_change_points.md","references/ml_seasonality.md","references/ml_trend.md","references/remote_models.md","references/vector_search.md"]},{"name":"bigquery-basics","description":"Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.","files":["SKILL.md","references/change-history.md","references/cli-usage.md","references/client-library-usage.md","references/continuous-queries.md","references/core-concepts.md","references/iac-usage.md","references/iam-security.md","references/mcp-usage.md"]},{"name":"bigquery-bigframes","description":"Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.","files":["SKILL.md","references/linear_regression.md","references/logistic_regression.md"]},{"name":"bigquery-observability","description":"Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA qu","files":["SKILL.md","references/capacity_and_configuration_queries.md","references/compute_capacity_billable.md","references/compute_ondemand_billable.md","references/job_performance_queries.md","references/resource_contention_queries.md","references/schema_compute.md","references/schema_others.md","references/schema_storage.md","references/storage_footprints.md"]},{"name":"bigquery-optimization","description":"Provides workflows to optimize BigQuery environments (capacity planning, editions), storage assets (partitioning, clustering, storage lifecycles, billing models), and SQL queries. Use when optimizing cost, modeling Edition migrations, rightsizing reservations, evaluating logical vs. physical storage","files":["SKILL.md","references/bi_engine.md","references/capacity_planning_editions.md","references/materialized_views.md","references/search_indexes.md","references/sql_optimization.md","references/storage_billing_models.md","references/storage_lifecycle_management.md","references/table_partitioning_clustering.md"]},{"name":"bigquery-pipeline-audit","description":"Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.","files":["SKILL.md"]},{"name":"bigquery-slot-cost-optimizer","description":"Analyzes Google Cloud BigQuery slot consumption, query costs, and execution bottlenecks using INFORMATION_SCHEMA. Use when diagnosing slow BigQuery queries, slot starvation, high on-demand query costs, unpartitioned table scans, or join performance issues. Don't use for generic BigQuery administrati","files":["SKILL.md","references/optimization_rules.md","references/remediation_playbooks.md","scripts/slot_analyzer.py"]},{"name":"bigquery-troubleshooting","description":"Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, ","files":["SKILL.md","references/cost_compute_capacity.md","references/cost_compute_ondemand.md","references/cost_storage.md","references/performance_config_changed.md","references/performance_resource_contention.md","references/query_plan_execution_graph.md"]},{"name":"bigtable-basics","description":"Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use","files":["SKILL.md","assets/row_key_schema.yaml","references/cli_data_access.md","references/client_libraries.md","references/dataplex.md","references/infrastructure_management.md","references/schema_design.md","references/sql_guide.md"]},{"name":"billing-automation","description":"Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.","files":["SKILL.md","references/details.md"]},{"name":"binary-analysis-patterns","description":"Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.","files":["SKILL.md","references/details.md"]},{"name":"biopython","description":"Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.","files":["SKILL.md","references/advanced.md","references/alignment.md","references/blast.md","references/databases.md","references/phylogenetics.md","references/review.md","references/sequence_io.md","references/structure.md"]},{"name":"bioservices","description":"Provides a Python interface to bioinformatics services including UniProt, KEGG, ChEMBL, Reactome, QuickGO, and UniChem. Used for cross-database protein annotation, pathway retrieval, chemical identifier mapping, and integrated biological data workflows with BioServices.","files":["SKILL.md","references/identifier_mapping.md","references/services_reference.md","references/workflow_patterns.md","scripts/batch_id_converter.py","scripts/compound_cross_reference.py","scripts/pathway_analysis.py","scripts/protein_analysis_workflow.py"]},{"name":"bitquery-automation","description":"Automate Bitquery tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bitwarden-automation","description":"Automate Bitwarden tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"blackbaud-automation","description":"Automate Blackbaud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"blackboard-automation","description":"Automate Blackboard tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"blender-motion-state-inspection","description":"Use this skill when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.","files":["SKILL.md"]},{"name":"blip-2-vision-language","description":"Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"blockchain-security","description":"Smart contract security testing and blockchain CTF exploitation. Covers Solidity vulnerability analysis, EVM storage manipulation, delegatecall attacks, CREATE/CREATE2 address prediction, and common DeFi exploit patterns. Use when analyzing Solidity contracts, solving blockchain challenges, or testi","files":["SKILL.md","reference/create-address-prediction.md","reference/delegatecall-attacks.md","reference/storage-layout.md"]},{"name":"blocknative-automation","description":"Automate Blocknative tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"blog-writing-guide","description":"Write, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, creat","files":["SKILL.md"]},{"name":"blue-green-deploy","description":"Configure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. Implement traffic shifting, health checks, and rollback procedures. Use when implementing production deployment strategies or zero-downtime releases.","files":["SKILL.md"]},{"name":"blueprint","description":"Use when the deliverable is WordPress Playground Blueprint JSON or a Blueprint bundle, including creating, editing, reviewing, validating schema keys, choosing steps/resources, and debugging Blueprint files. For only running or sharing a Playground environment, use wp-playground.","files":["SKILL.md"]},{"name":"boldsign-automation","description":"Automate Boldsign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bolna-automation","description":"Automate Bolna tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"boloforms-automation","description":"Automate Boloforms tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bolt-iot-automation","description":"Automate Bolt Iot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bonsai-automation","description":"Automate Bonsai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bookingmood-automation","description":"Automate Bookingmood tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"booqable-automation","description":"Automate Booqable tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"boost-prompt","description":"Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.","files":["SKILL.md"]},{"name":"borneo-automation","description":"Automate Borneo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"botbaba-automation","description":"Automate Botbaba tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"botpress-automation","description":"Automate Botpress tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"botsonic-automation","description":"Automate Botsonic tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"botstar-automation","description":"Automate Botstar tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bouncer-automation","description":"Automate Bouncer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"boxhero-automation","description":"Automate Boxhero tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brag-sheet","description":"Turn vague \"what did I do?\" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result ","files":["SKILL.md"]},{"name":"brainstorming","description":"You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).","files":["SKILL.md","builder-check-prompt.md","scripts/helper.js","scripts/server.cjs","scripts/start-server.sh","scripts/stop-server.sh","visual-companion.md"]},{"name":"brainstorming-research-ideas","description":"Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.","files":["SKILL.md"]},{"name":"brand-discovery","description":"Run a structured, resumable multi-session brand identity interview across 8 modules (purpose, positioning, audience, personality, voice, narrative, founder tension) using laddering, 5 Whys, and projective techniques, persisting answers to disk and producing a master brandbook (90_SYNTHESIS.md). Use ","files":["SKILL.md","references/10_purpose-why.md","references/20_positioning.md","references/30_audience-niche.md","references/40_personality-archetype.md","references/50_voice-tone.md","references/60_narrative-story.md","references/70_founder-tension.md","references/90_SYNTHESIS.md"]},{"name":"brand-guidelines","description":"Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.","files":["SKILL.md","LICENSE.txt"]},{"name":"brand-landingpage","description":"Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and h","files":["SKILL.md","references/interview-framework.md","references/state-and-pitfalls.md","references/stitch-architecture.md"]},{"name":"brand-voice","description":"Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.","files":["SKILL.md","references/voice-profile-schema.md"]},{"name":"brandfetch-automation","description":"Automate Brandfetch tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"break","description":"Renders a component you choose under every scenario that can reach it on a temporary page and stress tests it.","files":["SKILL.md","agents/openai.yaml","scenarios.md"]},{"name":"breakdown-epic-arch","description":"Prompt for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.","files":["SKILL.md"]},{"name":"breakdown-epic-pm","description":"Prompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.","files":["SKILL.md"]},{"name":"breakdown-feature-implementation","description":"Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.","files":["SKILL.md"]},{"name":"breakdown-feature-prd","description":"Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.","files":["SKILL.md"]},{"name":"breakdown-plan","description":"Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.","files":["SKILL.md"]},{"name":"breakdown-test","description":"Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.","files":["SKILL.md"]},{"name":"breeze-automation","description":"Automate Breeze tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"breezy-hr-automation","description":"Automate Breezy HR tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brex-automation","description":"Automate Brex tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brex-staging-automation","description":"Automate Brex Staging tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brightdata-automation","description":"Automate Brightdata tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brightpearl-automation","description":"Automate Brightpearl tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brilliant-directories-automation","description":"Automate Brilliant Directories tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"brownfield-retrospective","description":"Run the ECC engineering process retroactively against an existing project slice. Audit current state, reconstruct past decisions, produce a four-axis gap register (thinking, coding practice, missing features, technology selection), then execute fixes forward through the plan-TDD-review pipeline. Use","files":["SKILL.md"]},{"name":"browseai-automation","description":"Automate Browseai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"browser-qa","description":"Run automated post-deploy UI verification with a browser automation MCP (claude-in-chrome, Playwright, or Puppeteer): console-error and Core Web Vitals smoke checks, form and auth-flow interaction tests, screenshot visual regression across three breakpoints, and axe-core accessibility audits ending ","files":["SKILL.md"]},{"name":"browser-tool-automation","description":"Automate Browser Tool tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"browserbase-tool-automation","description":"Automate Browserbase Tool tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"browserhub-automation","description":"Automate Browserhub tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"browserless-automation","description":"Automate Browserless tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"btcpay-server-automation","description":"Automate Btcpay Server tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bubble-automation","description":"Automate Bubble tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bug-hunt-swarm","description":"Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof pa","files":["SKILL.md","agents/openai.yaml"]},{"name":"bug-receipt","description":"Close defects and incidents with a BUG RECEIPT and VERIFIED, PARTIAL, or BLOCKED status after diagnosis, repair, or recovery.","files":["SKILL.md","assets/receipt.template.json","references/receipt-contract.md","references/receipt.schema.json","scripts/validate-receipt.mjs"]},{"name":"bug-reproduction-brief","description":"Turn a vague, intermittent, or environment-specific bug report into a minimal evidence-backed reproduction before proposing a fix.","files":["SKILL.md"]},{"name":"bugbug-automation","description":"Automate Bugbug tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bugherd-automation","description":"Automate Bugherd tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bugsnag-automation","description":"Automate Bugsnag tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"build-design","description":"Builds UI from a Figma file or a design image so it matches the design, using your project's existing tokens and components.","files":["SKILL.md","agents/openai.yaml","figma.md"]},{"name":"build-evidence-map","description":"Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose.","files":["SKILL.md","references/evidence-ladder.md","references/map-schema.md","scripts/contract.mjs","scripts/validate.mjs"]},{"name":"build-mcp-app","description":"This skill should be used when the user wants to build an \"MCP app\", add \"interactive UI\" or \"widgets\" to an MCP server, \"render components in chat\", build \"MCP UI resources\", make a tool that shows a \"form\", \"picker\", \"dashboard\" or \"confirmation dialog\" inline in the conversation, or mentions \"app","files":["SKILL.md","references/abuse-protection.md","references/apps-sdk-messages.md","references/directory-checklist.md","references/iframe-sandbox.md","references/payload-budgeting.md","references/widget-templates.md"]},{"name":"build-mcp-server","description":"This skill should be used when the user asks to \"build an MCP server\", \"create an MCP\", \"make an MCP integration\", \"wrap an API for Claude\", \"expose tools to Claude\", \"make an MCP app\", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development ","files":["SKILL.md","references/auth.md","references/deploy-cloudflare-workers.md","references/elicitation.md","references/remote-http-scaffold.md","references/resources-and-prompts.md","references/server-capabilities.md","references/tool-design.md","references/versions.md"]},{"name":"build-mcpb","description":"This skill should be used when the user wants to \"package an MCP server\", \"bundle an MCP\", \"make an MCPB\", \"ship a local MCP server\", \"distribute a local MCP\", discusses \".mcpb files\", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the lo","files":["SKILL.md","references/local-security.md","references/manifest-schema.md"]},{"name":"build-models","description":"Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, ","files":["SKILL.md"]},{"name":"building-dbt-semantic-layer","description":"Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.","files":["SKILL.md","references/best-practices.md","references/latest-spec.md","references/legacy-spec.md","references/time-spine.md"]},{"name":"building-livekit-agents","description":"Builds voice and chat AI agents with LiveKit Agents and LiveKit Cloud. Use when the user asks to \"build a voice agent\", \"create a LiveKit agent\", \"add voice AI to my app\", \"implement handoffs\", \"structure an agent workflow\", \"my agent is slow / too chatty\", \"it says it booked but nothing was saved\",","files":["SKILL.md","references/state-and-effects.md"]},{"name":"buildkite-automation","description":"Automate Buildkite tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"builtwith-automation","description":"Automate Builtwith tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"bulk-rnaseq","description":"Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis","files":["SKILL.md","references/counts-and-handoff.md","references/design-and-qc.md","references/upstream-manual.md","references/upstream-nfcore.md","scripts/_tabular.py","scripts/build_counts_matrix.py","scripts/validate_samplesheet.py"]},{"name":"bun-bundler","description":"This skill should be used when the user asks about \"bun build\", \"Bun.build\", \"bundling with Bun\", \"code splitting\", \"tree shaking\", \"minification\", \"sourcemaps\", \"bundle optimization\", \"esbuild alternative\", \"building for production\", \"bundling TypeScript\", \"bundling for browser\", \"bundling for Node","files":["SKILL.md","references/options.md"]},{"name":"bun-cloudflare-workers","description":"This skill should be used when the user asks about \"Cloudflare Workers with Bun\", \"deploying Bun to Workers\", \"wrangler with Bun\", \"edge deployment\", \"Bun to Cloudflare\", or building and deploying applications to Cloudflare Workers using Bun.","files":["SKILL.md"]},{"name":"bun-docker","description":"Use for Docker with Bun, Dockerfiles, oven/bun image, containerization, and deployments.","files":["SKILL.md"]},{"name":"bun-drizzle-integration","description":"Use when integrating Drizzle ORM with Bun's SQLite driver for type-safe schema definitions and migrations.","files":["SKILL.md"]},{"name":"bun-ffi","description":"This skill should be used when the user asks about \\\"bun:ffi\\\", \\\"foreign function interface\\\", \\\"calling C from Bun\\\", \\\"native libraries\\\", \\\"dlopen\\\", \\\"shared libraries\\\", \\\"calling native code\\\", or integrating C/C++ libraries with Bun.","files":["SKILL.md"]},{"name":"bun-file-io","description":"Use for Bun file I/O: Bun.file, Bun.write, streams, directories, glob patterns, metadata.","files":["SKILL.md"]},{"name":"bun-hono-integration","description":"Use when building APIs with Hono framework on Bun, including routing, middleware, REST APIs, context handling, or web framework features.","files":["SKILL.md"]},{"name":"bun-hot-reloading","description":"Use when implementing hot reloading with Bun (--hot, --watch), HMR, or automatic code reloading during development. Covers watch mode, hot mode, and HTTP server reload.","files":["SKILL.md"]},{"name":"bun-http-server","description":"Use when building HTTP servers with Bun.serve, handling requests/responses, implementing routing, creating REST APIs, or configuring fetch handlers.","files":["SKILL.md"]},{"name":"bun-jest-migration","description":"Use when migrating from Jest to Bun's test runner, import compatibility, mocks, and config.","files":["SKILL.md"]},{"name":"bun-macros","description":"Evaluate JavaScript at bundle time and inline results. Use when optimizing compile-time code generation, embedding files, inlining environment variables, or executing code during the bundling process.","files":["SKILL.md"]},{"name":"bun-nextjs","description":"This skill should be used when the user asks about \"Next.js with Bun\", \"Bun and Next\", \"running Next.js on Bun\", \"Next.js development with Bun\", \"create-next-app with Bun\", or building Next.js applications using Bun as the runtime.","files":["SKILL.md"]},{"name":"bun-nuxt","description":"Use when running Nuxt 3 with Bun runtime, building Vue/Nuxt apps with Bun, or configuring Nuxt projects to use Bun for development and production.","files":["SKILL.md"]},{"name":"bun-package-manager","description":"Bun package manager commands (install, add, remove, update), workspaces, lockfiles, npm/yarn/pnpm migration. Use for dependency management with Bun.","files":["SKILL.md","references/cli-commands.md"]},{"name":"bun-react-ssr","description":"Use when building server-rendered React with Bun, including streaming SSR, hydration, renderToString, or custom SSR without a framework.","files":["SKILL.md"]},{"name":"bun-redis","description":"Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.","files":["SKILL.md"]},{"name":"bun-runtime","description":"Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.","files":["SKILL.md"]},{"name":"bun-shell","description":"Bun shell scripting with Bun.$, Bun.spawn, subprocess management. Use for shell commands, template literals, or command execution.","files":["SKILL.md"]},{"name":"bun-sqlite","description":"Use for bun:sqlite, SQLite operations, prepared statements, transactions, and queries.","files":["SKILL.md"]},{"name":"bun-sveltekit","description":"Use when building or running SvelteKit apps on Bun, including SSR, adapters, and Bun-specific APIs","files":["SKILL.md"]},{"name":"bun-tanstack-start","description":"TanStack Start full-stack React framework with Bun runtime. Use for TanStack Router, server functions, vinxi, or encountering SSR, build, preset errors.","files":["SKILL.md"]},{"name":"bun-test-basics","description":"Use for bun:test syntax, assertions, describe/it, test.skip/only/each, and basic patterns.","files":["SKILL.md"]},{"name":"bun-test-coverage","description":"Use for test coverage with Bun, --coverage flag, lcov reports, thresholds, and CI integration.","files":["SKILL.md"]},{"name":"bun-test-lifecycle","description":"Use for test lifecycle hooks: beforeAll, afterAll, beforeEach, afterEach, fixtures, preload.","files":["SKILL.md"]},{"name":"bun-test-mocking","description":"Use for mock functions in Bun tests, spyOn, mock.module, implementations, and test doubles.","files":["SKILL.md"]},{"name":"bun-websocket-server","description":"This skill should be used when the user asks about \"WebSocket in Bun\", \"real-time communication\", \"Bun.serve websocket\", \"ws server\", \"socket connections\", \"pub/sub\", \"broadcasting messages\", \"WebSocket upgrade\", or building real-time applications with Bun.","files":["SKILL.md"]},{"name":"bun-workers","description":"Use for Web Workers in Bun, worker_threads, parallel processing, and background tasks.","files":["SKILL.md"]},{"name":"bunnycdn-automation","description":"Automate Bunnycdn tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"burpsuite-project-parser","description":"Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.","files":["SKILL.md","agents/openai.yaml","scripts/burp-search.sh"]},{"name":"business-continuity","description":"Develop business continuity plans and impact analysis. Implement BCP testing and communication procedures. Use when building organizational resilience.","files":["SKILL.md"]},{"name":"byteforms-automation","description":"Automate Byteforms tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"c-review","description":"Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or hunting integer overflow / use-after-free / race conditions ","files":["SKILL.md"]},{"name":"cabinpanda-automation","description":"Automate Cabinpanda tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"caching","description":"Set HTTP cache headers on tRPC query responses via responseMeta callback for CDN and browser caching. Configure Cache-Control, s-maxage, stale-while-revalidate. Handle caching with batching and authenticated requests. Avoid caching mutations, errors, and authenticated responses.","files":["SKILL.md"]},{"name":"cairo-vulnerability-scanner","description":"Scans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.","files":["SKILL.md","agents/openai.yaml","resources/VULNERABILITY_PATTERNS.md"]},{"name":"cal-automation","description":"Automate Cal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"calendarhero-automation","description":"Automate Calendarhero tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"callerapi-automation","description":"Automate Callerapi tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"callingly-automation","description":"Automate Callingly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"callpage-automation","description":"Automate Callpage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"camerax","description":"Provide technical guidance for Android camera development with CameraX.","files":["SKILL.md","references/camera1-to-camerax.md","references/camera2-to-camerax.md","references/expert-blueprints.md","references/foldables.md","references/immutability.md","references/low-light.md","references/mlkit-spatial.md","references/modern-apis.md","references/testing.md","references/thermals.md","references/wear-os.md","references/xr.md"]},{"name":"campaign-cleaner-automation","description":"Automate Campaign Cleaner tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"campayn-automation","description":"Automate Campayn tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"canary","description":"Post-deploy canary monitoring. (gstack)","files":["SKILL.md"]},{"name":"canary-watch","description":"Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.","files":["SKILL.md"]},{"name":"cancel","description":"Cancel any active OMC mode (autopilot, ralph, ultragoal, swarm, ultrapilot, pipeline, team) and clean up retired legacy state","files":["SKILL.md"]},{"name":"canny-automation","description":"Automate Canny tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cantera","description":"Runs Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement. Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific igniti","files":["SKILL.md","assets/hydrogen-ignition.json","references/interpretation.md","scripts/ignition_delay.py"]},{"name":"canvas-automation","description":"Automate Canvas tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"canvas-design","description":"Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.","files":["SKILL.md","LICENSE.txt","canvas-fonts/ArsenalSC-OFL.txt","canvas-fonts/BigShoulders-OFL.txt","canvas-fonts/Boldonse-OFL.txt","canvas-fonts/BricolageGrotesque-OFL.txt","canvas-fonts/CrimsonPro-OFL.txt","canvas-fonts/DMMono-OFL.txt","canvas-fonts/EricaOne-OFL.txt","canvas-fonts/GeistMono-OFL.txt","canvas-fonts/Gloock-OFL.txt","canvas-fonts/IBMPlexMono-OFL.txt","canvas-fonts/InstrumentSans-OFL.txt","canvas-fonts/Italiana-OFL.txt","canvas-fonts/JetBrainsMono-OFL.txt","canvas-fonts/Jura-OFL.txt","canvas-fonts/LibreBaskerville-OFL.txt","canvas-fonts/Lora-OFL.txt","canvas-fonts/NationalPark-OFL.txt","canvas-fonts/NothingYouCouldDo-OFL.txt","canvas-fonts/Outfit-OFL.txt","canvas-fonts/PixelifySans-OFL.txt","canvas-fonts/PoiretOne-OFL.txt","canvas-fonts/RedHatMono-OFL.txt","canvas-fonts/Silkscreen-OFL.txt","canvas-fonts/SmoochSans-OFL.txt","canvas-fonts/Tektur-OFL.txt","canvas-fonts/WorkSans-OFL.txt","canvas-fonts/YoungSerif-OFL.txt"]},{"name":"capacity","description":"Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity","files":["SKILL.md","scripts/discover_and_rank.ps1","scripts/discover_and_rank.sh","scripts/query_capacity.ps1","scripts/query_capacity.sh"]},{"name":"carbone-automation","description":"Automate Carbone tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cardly-automation","description":"Automate Cardly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cardputer-buddy","description":"Iterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on \"add ","files":["SKILL.md"]},{"name":"cargo-fuzz","description":"Sets up and runs cargo-fuzz, the standard fuzzing tool for Cargo-based Rust projects. Covers cargo fuzz init, the nightly toolchain requirement, fuzz_target! harnesses, Arbitrary-derived structured inputs, sanitizer options, cargo fuzz coverage, and reproducing a crash artifact. Use when fuzzing a R","files":["SKILL.md","agents/openai.yaml"]},{"name":"carrier-relationship-management","description":"Manage truckload, LTL, and intermodal carrier portfolios: sourcing and FMCSA vetting, freight rate and fuel-surcharge negotiation, RFPs and routing guides, carrier scorecards, allocation, and renewals. Use when onboarding carriers, running freight RFPs, negotiating rates, evaluating carrier performa","files":["SKILL.md"]},{"name":"castingwords-automation","description":"Automate Castingwords tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cats-automation","description":"Automate Cats tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cavecrew","description":"When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer.","files":["SKILL.md","README.md"]},{"name":"caveman","description":"Terse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, \"caveman mode\", \"talk like caveman\", \"be brief\", \"less tokens\". Stays on until \"stop caveman\" or \"normal mode\".","files":["SKILL.md","README.md"]},{"name":"caveman-commit","description":"Write a Conventional Commits message compressed to intent only. Use for \"write a commit\", \"commit message\", /commit or /caveman-commit.","files":["SKILL.md","README.md"]},{"name":"caveman-discover","description":"Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for \"discover workflows\" or breaking LLM spend down by workflow.","files":["SKILL.md"]},{"name":"caveman-evidence-review","description":"Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.","files":["SKILL.md"]},{"name":"caveman-explore","description":"Read-only repository explorer for cold-start orientation, broad cross-file localization, or when a direct search failed. Skip it when the exact file or symbol is already named. Returns path:line citations only; its reads stay out of main context.","files":["SKILL.md","package.json","tests/skill-file.test.mjs"]},{"name":"caveman-help","description":"Quick-reference card for the three caveman skills and their commands. Trigger: /caveman-help or \"caveman help\".","files":["SKILL.md","README.md"]},{"name":"caveman-learn","description":"Act on a Caveman learn report - review the ranked token sinks, apply cost-lowering fixes with per-edit consent, and report what those fixes returned. Use when asked to lower an agent's token cost, what caveman has saved, to trim a heavy CLAUDE.md, or to offload re-pasted context into cavemem.","files":["SKILL.md","CLAUDE.md","README.md","package.json","tests/index.js","tests/skill-file.test.mjs"]},{"name":"caveman-manage","description":"Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.","files":["SKILL.md"]},{"name":"caveman-optimize","description":"Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. Needs explicit approval.","files":["SKILL.md"]},{"name":"caveman-review","description":"Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, \"review this PR\", or \"review the diff\".","files":["SKILL.md","README.md"]},{"name":"caveman-setup","description":"Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for \"set up caveman\" or adding LLM spend observability.","files":["SKILL.md"]},{"name":"caveman-stats","description":"Show recorded output and cache-read token usage and mode attribution for the current Claude Code session, or locate the host's native usage report. Trigger: /caveman-stats.","files":["SKILL.md","README.md"]},{"name":"cdn-setup","description":"Configure CDNs for content delivery. Set up CloudFront, Cloudflare, and Fastly. Use when optimizing global content delivery.","files":["SKILL.md"]},{"name":"cdr-platform-automation","description":"Automate Cdr Platform tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ce-bakeoff","description":"Develop independent competing solutions to a defined brief, compare them, and synthesize a winning approach. Use when choosing well requires developing alternatives beyond their current form. Use ce-pov to judge developed material and ce-ideate to discover opportunities.","files":["SKILL.md","references/candidates.md","references/judging.md","references/output.md","references/verification.md"]},{"name":"ce-commit","description":"Create a git commit with a clear, value-communicating message. Use when the user asks to commit/save staged or unstaged changes with a repo-appropriate message.","files":["SKILL.md"]},{"name":"ce-commit-push-pr","description":"Commit, push, and open a PR. Use when asked to ship/open a PR, or for PR-description-only flows like writing, rewriting, or describing a PR body.","files":["SKILL.md","references/apply-and-handoff.md","references/branch-creation.md","references/commit-and-push.md","references/compose.md","references/context.md","references/gh-stack-cli.md","references/pr-description-writing.md","references/stack-submit.md"]},{"name":"ce-debug","description":"Diagnosis loop for bugs and failing behavior. Use when asked to debug or fix failing or slow behavior.","files":["SKILL.md","references/anti-patterns.md","references/defense-in-depth.md","references/fix.md","references/investigate.md","references/investigation-techniques.md","references/pipeline-mode.md","references/post-fix-handoff.md","references/return-to-caller.md"]},{"name":"ce-dogfood","description":"Hands-off, diff-scoped browser QA of the active branch: maps user flows, drives a real browser, autonomously fixes small breakages with regression tests and commits, judges experience against product personas, and writes a durable dogfood report. Manual invocation only.","files":["SKILL.md","agents/openai.yaml","references/dogfood-report-template.md","references/phases.md","references/test-matrix-taxonomy.md","scripts/packs-resolve.py"]},{"name":"ce-explain","description":"Explain how and why something has its current shape, or what happened over a window of work, grounded in evidence. Use when the user asks for an explanation. Use ce-pov for a judgment or recommendation.","files":["SKILL.md","references/agents/behavior-trace-scout.md","references/agents/work-recap-scout.md","references/check-in.md","references/destinations.md","references/explainer-html.md","references/explainer-markdown.md","references/intake.md","references/orchestration.md"]},{"name":"ce-handoff","description":"Create a session handoff for another agent, or resume, find, and read any user-selected continuity source. Use when work or conversation must continue without access to the current session history.","files":["SKILL.md","references/create.md","references/resume.md"]},{"name":"ce-ideate","description":"Generate and evaluate grounded ideas. Use when the user wants ideas, improvements, or surprising directions before choosing one to develop. Not for refining an idea they already have (ce-brainstorm) or judging one already on the table (ce-pov).","files":["SKILL.md","references/agents/issue-intelligence-analyst.md","references/agents/learnings-researcher.md","references/agents/slack-researcher.md","references/agents/web-researcher.md","references/decomposition.md","references/divergent-ideation.md","references/grounding.md","references/html-rendering.md","references/ideation-sections.md","references/issue-intelligence.md","references/markdown-rendering.md","references/output-mode.md","references/post-ideation-workflow.md","references/scope-gates.md","references/universal-ideation.md","references/user-research-artifacts.md","references/web-research-cache.md"]},{"name":"ce-noslop","description":"Rewrite, check, or draft prose so it carries no AI writing tells, reads plainly on the first read, and keeps every source fact. Use when asked to make writing plainer or free of those tells, to check writing for them, or when drafting from supplied content. Use ce-promote for channel-specific market","files":["SKILL.md","references/patterns.md","references/terminology.md"]},{"name":"ce-product-pulse","description":"Generate time-windowed product pulse reports from configured signals.","files":["SKILL.md","agents/openai.yaml","references/config.md","references/interview.md","references/report-template.md","references/run.md","references/setup.md"]},{"name":"ce-promote","description":"Draft launch or promotion copy for a shipped feature.","files":["SKILL.md","agents/openai.yaml","references/spiral-cli.md"]},{"name":"ce-proof","description":"Publish, read, comment on, or edit markdown in Proof. Use for Proof links, sharing specs/plans/drafts, or publish handoffs from planning workflows; avoid proofread, math, evidence, or proof-of-concept meanings.","files":["SKILL.md","references/api.md","references/workflows.md"]},{"name":"ce-prototype","description":"Build a throwaway prototype to answer how something should work, feel, or read. Use when committing the wrong answer would be expensive to unravel and a cheap sketch cannot settle it. Not a rough visual probe during brainstorming, not for deciding what to build, not polishing a feature that already ","files":["SKILL.md","assets/annotate.js","references/annotation-loop.md","references/build.md","references/craft-floor.md","references/preview.md","references/scoping.md","references/write-back.md","scripts/light-webserver.js"]},{"name":"ce-resolve-pr-feedback","description":"Judge PR feedback centrally, apply valid fixes, and complete review conversations with publication verified. Use when addressing feedback already left on a PR, preparing local fixes for a caller to publish, or completing a saved feedback batch. Use ce-code-review for reviewing code before feedback e","files":["SKILL.md","references/agents/pr-comment-resolver.md","references/evaluation-rubric.md","references/full-mode.md","references/pipeline-mode.md","references/resume.md","references/return-to-caller.md","references/targeted-mode.md","scripts/pending-feedback.py"]},{"name":"ce-retune","description":"Retune a skill corpus for a new model, measurement-first: mine the run archive for a baseline, establish a noise floor, audit the corpus adversarially, then cut in measured passes until a pre-registered bar clears. Requires a benchmark harness that can A/B two builds of the corpus; refuses without o","files":["SKILL.md","agents/openai.yaml","references/baseline-mining.md","references/corpus-audit.md","references/cut-passes.md","references/halt-taxonomy.md","references/noise-floor.md","references/workflow-shapes.md"]},{"name":"ce-setup","description":"Check Compound Engineering health and repo-local config, or scaffold a Compound Pack with `pack:<id>`.","files":["SKILL.md","agents/openai.yaml","assets/compounding-directive.md","assets/noslop-directive.md","assets/pack-rule-template.md","references/acpx-cache-warm.md","references/config-template.yaml","references/legacy-codex-tool-map.md","references/pack-scaffold.md","references/repo-fixes.md","scripts/packs-resolve.py"]},{"name":"ce-strategy","description":"Create or update STRATEGY.md. Use when starting a product, adding a strategy doc, or changing direction or roadmap.","files":["SKILL.md","references/grounding.md","references/interview.md","references/strategy-template.md","references/update-run.md"]},{"name":"ce-test-xcode","description":"Test iOS apps in a simulator with XcodeBuildMCP. Use when iOS changes need simulator evidence before handoff.","files":["SKILL.md","agents/openai.yaml","references/setup-and-build.md","references/test-and-report.md"]},{"name":"ce-worktree","description":"Set up isolated git worktrees — create a new branch for fresh work, or attach a worktree to an existing branch, PR, or commit. Use when starting isolated work or isolating an existing ref.","files":["SKILL.md"]},{"name":"cellprofiler","description":"Runs reproducible CellProfiler microscopy pipelines for nuclear segmentation, cell counts, and per-object fluorescence measurements. Supports image/channel manifests, headless batch execution, segmentation overlays, and measurement QC for 2D fluorescence assays.","files":["SKILL.md","references/runtime-and-qc.md","scripts/nuclei_assay.py"]},{"name":"cellxgene-census","description":"Queries the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas compari","files":["SKILL.md","references/api_access.md","references/census_schema.md","references/common_patterns.md","references/core_workflow_patterns.md"]},{"name":"census-bureau-automation","description":"Automate Census Bureau tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"centos-linux-triage","description":"Triage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.","files":["SKILL.md"]},{"name":"centralstationcrm-automation","description":"Automate Centralstationcrm tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"certifier-automation","description":"Automate Certifier tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"change-management","description":"Implement change management processes. Configure CAB reviews, change windows, and rollback procedures. Use when managing production changes.","files":["SKILL.md"]},{"name":"changelog-automation","description":"Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.","files":["SKILL.md","references/details.md"]},{"name":"changelog-generator","description":"Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.","files":["SKILL.md"]},{"name":"character-design","description":"Build consistent character designs and character media with genmedia. Use this for original characters, reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.","files":["SKILL.md","references/anchor-system.md","references/examples.md","references/prompt-patterns.md"]},{"name":"chaser-automation","description":"Automate Chaser tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"chatbotkit-automation","description":"Automate Chatbotkit tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"chatfai-automation","description":"Automate Chatfai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"chatgpt-apps","description":"Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a doc","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/app-archetypes.md","references/apps-sdk-docs-workflow.md","references/interactive-state-sync-patterns.md","references/repo-contract-and-validation.md","references/search-fetch-standard.md","references/upstream-example-workflow.md","references/window-openai-patterns.md","scripts/scaffold_node_ext_apps.mjs"]},{"name":"chatwork-automation","description":"Automate Chatwork tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"check-npm","description":"Audit a JavaScript/TypeScript repo's npm, yarn, or pnpm configuration for supply-chain hardening: tool version, lifecycle scripts, unsafe dependency protocols, and minimum release age ≥3 days. Use when the user invokes /check-npm or asks to audit package manager security, lifecycle scripts, git depe","files":["SKILL.md","references/fix-snippets.md","references/managers.md","references/protocols.md"]},{"name":"checkpoint-promotion","description":"Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.","files":["SKILL.md","references/gate-templates.md"]},{"name":"chief-of-staff","description":"Pursue a long-running goal in a single session by co-ordinating subagents.","files":["SKILL.md","agents/openai.yaml"]},{"name":"chmeetings-automation","description":"Automate Chmeetings tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"chroma","description":"Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local developmen","files":["SKILL.md","references/integration.md"]},{"name":"chromatic-monorepo-config","description":"Recommend Chromatic best practices for Nx and Turborepo monorepos, including one-project versus multi-project topology, workingDir, buildCommand or outputDir, storybookBaseDir, storybookConfigDir, onlyChanged, externals, untraced, shared lockfile behavior, and TurboSnap-safe CI patterns. Use when a ","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/nx-multi-project.json","evaluations/nx-single-project.json","evaluations/root-preview-change.json","evaluations/root-untraced-pitfall.json","evaluations/topology-decision.json","evaluations/turborepo-lockfile-churn.json","examples/nx-single-project.md","examples/turborepo-multi-project.md","reference/docs-map.md","reference/output-contract.md","reference/recommendation-playbook.md","reference/safety-rubric.md","reference/snippet-catalog.md","reference/topology-rubric.md","template.md"]},{"name":"chromatic-setup-ci","description":"Configure CI/CD pipelines to run Chromatic visual tests automatically. Use when the user wants to set up Chromatic in CI, add Chromatic to GitHub Actions / GitLab / Bitbucket Pipelines / CircleCI / Jenkins / Azure Pipelines, automate visual testing, or run Chromatic on every push.","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/github-actions-no-script.json","evaluations/minimal-config.json","evaluations/no-ci-detected.json","reference/ci-detection.md","reference/docs-map.md","reference/output-contract.md","reference/package-manager.md"]},{"name":"chromatic-themes","description":"Configure Chromatic to capture visual test snapshots across multiple themes (light/dark mode, design tokens, branded variants) using the Modes API and @storybook/addon-themes. Use when the user wants to test components with different themes in Chromatic, set up light/dark mode visual testing, config","files":["SKILL.md","evaluations/README.md","evaluations/custom-decorator-mui.json","evaluations/extend-existing-viewport-modes.json","evaluations/fresh-setup-bootstrap.json","evaluations/fresh-setup-tailwind.json","reference/docs-map.md","reference/output-contract.md"]},{"name":"chromatic-troubleshoot-config","description":"Diagnose Storybook configuration issues that block Chromatic or local Storybook, including missing stories, framework or builder mismatches, addon conflicts, preview errors, static asset path issues, and package version drift. Use when Storybook fails to build, Chromatic cannot verify Storybook, sto","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/addon-conflict.json","evaluations/framework-builder-mismatch.json","evaluations/local-build-broken.json","evaluations/stories-glob-mismatch.json","examples/preview-runtime-error.md","examples/stories-glob-mismatch.md","reference/command-catalog.md","reference/diagnosis-taxonomy.md","reference/evidence-ladder.md","reference/output-contract.md","reference/workflow-playbook.md","template.md"]},{"name":"chromatic-troubleshoot-diff","description":"Diagnose unexpected Chromatic visual diffs, snapshot inconsistencies, font and resource loading drift, animation timing issues, viewport or globals mismatches, sticky or fixed positioning quirks, and nondeterministic story output. Use when snapshots change unexpectedly or the same code produces inco","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/expected-ui-change.json","evaluations/font-loading-drift.json","evaluations/local-render-drift.json","evaluations/nondeterministic-data.json","evaluations/position-sticky-fixed.json","evaluations/viewport-globals-mismatch.json","examples/font-loading-drift.md","examples/local-storybook-repro.md","examples/position-sticky-fixed.md","reference/command-catalog.md","reference/diagnosis-taxonomy.md","reference/docs-map.md","reference/evidence-ladder.md","reference/output-contract.md","reference/source-pack/README.md","reference/source-pack/animations.txt","reference/source-pack/delay.txt","reference/source-pack/font-loading.txt","reference/source-pack/position-sticky.txt","reference/source-pack/resource-loading.txt","reference/source-pack/troubleshooting-snapshots.txt","reference/source-pack/viewports.txt","reference/workflow-playbook.md","template.md"]},{"name":"chromatic-turbosnap-compare","description":"Compare TurboSnap 1 and 2 behavior using local CLI logs, v2 manifests, and bundler stats. Use for migration discrepancies, unexpected preview/configuration hash changes, or files that changed on disk but were absent from the Git changed-file list.","files":["SKILL.md","agents/openai.yaml","evaluations/generated-preview-input.json","evaluations/missing-baseline.json","reference/evidence-and-hashing.md","scripts/compare_turbosnap.py","template.md"]},{"name":"chromatic-turbosnap-debug","description":"Diagnose TurboSnap behavior using logs, config, git context, support-shareable hosted metadata references, and targeted trace commands. Use when you need to classify why TurboSnap is enabled, disabled, unavailable, or tracing the wrong stories, then recommend the smallest valid next step.","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/base-dir-mismatch.json","evaluations/broad-trace.json","evaluations/invalid-git-history.json","evaluations/missed-story.json","evaluations/missing-stats-file.json","evaluations/partial-logs-customer.json","evaluations/preview-bail-single-glob.json","examples/customer-guided-debug.md","examples/internal-investigation.md","reference/command-catalog.md","reference/diagnosis-taxonomy.md","reference/docs-map.md","reference/evidence-ladder.md","reference/output-contract.md","reference/trace-minimization.md","reference/workflow-playbook.md","template.md"]},{"name":"chromatic-viewports","description":"Configure Chromatic to capture visual test snapshots at multiple viewport sizes using the Modes API. Use when the user wants to test responsive components at different screen sizes, set up viewport breakpoints for Chromatic visual testing, apply viewports to individual stories or globally, control s","files":["SKILL.md","reference/docs-map.md","reference/output-contract.md"]},{"name":"chromatic-workflow-debug","description":"Diagnose Chromatic workflow issues involving git history, baselines, pull request event shape, merge queues, merge-base failures, replacement builds, and patch builds. Use when builds compare against the wrong baseline, an ancestor build is not found, pull request comparisons look wrong, or CI git c","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/merge-base-not-found.json","evaluations/merge-queue-remap.json","evaluations/missing-commit-details.json","evaluations/no-ancestor-build.json","evaluations/pull-request-merge-commit.json","evaluations/rebase-baseline-confusion.json","evaluations/replacement-build.json","evaluations/shallow-clone.json","examples/pr-merge-commit.md","examples/rebase-replacement-build.md","reference/command-catalog.md","reference/diagnosis-taxonomy.md","reference/docs-map.md","reference/evidence-ladder.md","reference/output-contract.md","reference/workflow-playbook.md","template.md"]},{"name":"chrome-devtools","description":"Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.","files":["SKILL.md"]},{"name":"chrome-mcp-troubleshooting","description":"Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return \"Browser extension is not connected\", or behave erratically.","files":["SKILL.md","agents/openai.yaml"]},{"name":"ci-cd-and-automation","description":"Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.","files":["SKILL.md"]},{"name":"cicd-pipeline-skill","description":"Generates CI/CD pipeline configurations for test automation with GitHub Actions, Jenkins, GitLab CI, and Azure DevOps. Includes TestMu AI cloud integration. Use when user mentions \"CI/CD\", \"pipeline\", \"GitHub Actions\", \"Jenkins\", \"GitLab CI\". Triggers on: \"CI/CD\", \"pipeline\", \"GitHub Actions\", \"Jenk","files":["SKILL.md","reference/playbook.md"]},{"name":"cincopa-automation","description":"Automate Cincopa tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cinematography","description":"Design cinematic image and video prompts for genmedia. Use this for shot language, camera movement, lighting, lens choices, color grade, film texture, scene blocking, and production-ready visual direction.","files":["SKILL.md","references/examples.md","references/lighting-lens-color.md","references/shot-language.md"]},{"name":"circleci","description":"Configure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance. Use when working with CircleCI for CI/CD automation.","files":["SKILL.md"]},{"name":"cirq","description":"Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pe","files":["SKILL.md","references/building.md","references/experiments.md","references/hardware.md","references/noise.md","references/review.md","references/simulation.md","references/transformation.md"]},{"name":"cis-benchmarks","description":"Audit and remediate CIS benchmark violations. Use automated tools to assess compliance and implement hardening recommendations. Use when meeting compliance requirements or implementing security baselines.","files":["SKILL.md"]},{"name":"cisco-ios-patterns","description":"Cisco IOS and IOS-XE review patterns for show commands, config hierarchy, wildcard masks, ACL placement, interface hygiene, and safe change-window verification. Use when reading, writing, or reviewing Cisco IOS / IOS-XE configuration or planning a change window.","files":["SKILL.md"]},{"name":"citation-management","description":"Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert","files":["SKILL.md","assets/citation_checklist.md","references/api_contracts.md","references/best_practices.md","references/bibtex_formatting.md","references/citation_validation.md","references/core_workflow.md","references/example_workflows.md","references/google_scholar_search.md","references/metadata_extraction.md","references/pubmed_search.md","references/script_reference.md","references/search_strategies.md","scripts/_common.py","scripts/doi_to_bibtex.py","scripts/extract_metadata.py","scripts/format_bibtex.py","scripts/search_google_scholar.py","scripts/search_openalex.py","scripts/search_pubmed.py","scripts/validate_citations.py"]},{"name":"ck","description":"Persistent per-project memory for Claude Code (Context Keeper) driven by deterministic Node.js /ck commands: init, save, resume, info, list, forget, and v1-to-v2 migrate, plus a SessionStart hook that injects a compact project brief. Use when context must survive across sessions, saving session stat","files":["SKILL.md","commands/forget.mjs","commands/info.mjs","commands/init.mjs","commands/list.mjs","commands/migrate.mjs","commands/resume.mjs","commands/save.mjs","commands/shared.mjs","hooks/session-start.mjs"]},{"name":"claid-ai-automation","description":"Automate Claid AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"classmarker-automation","description":"Automate Classmarker tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"claude-devfleet","description":"Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports. Use when dispatching parallel coding agents across isolated worktrees and tracking their reports.","files":["SKILL.md"]},{"name":"claude-handoff","description":"Hand the current conversation off to a fresh background agent that picks up the work immediately.","files":["SKILL.md","agents/openai.yaml"]},{"name":"claude-hook-writer","description":"Expert guidance for writing secure, reliable, and performant Claude Code hooks - validates design decisions, enforces best practices, and prevents common pitfalls. Use when creating, reviewing, or debugging Claude Code hooks.","files":["SKILL.md","references/code-templates.md","references/publishing-guide.md","references/quick-reference.md","references/reliability-performance.md","references/security-requirements.md","references/testing-debugging.md"]},{"name":"claude-md-improver","description":"Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions \"CLAUDE.md maintena","files":["SKILL.md","references/quality-criteria.md","references/templates.md","references/update-guidelines.md"]},{"name":"claude-security","description":"Claude Security: scan the codebase (the whole repository or a scoped part of it), scan changes (this branch's or a pull request's diff, or one commit), or suggest patches (findings turned into targeted patch files, each verified by a panel of agents, that you apply when you choose). Use when the use","files":["SKILL.md","jobs/scan-changes.md","jobs/scan-codebase.md","jobs/suggest-patches.md","role.md","specs/patch-spec.md","specs/report-spec.md"]},{"name":"claude-settings-audit","description":"Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure.","files":["SKILL.md"]},{"name":"clearout-automation","description":"Automate Clearout tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cli-creator","description":"Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/agent-cli-patterns.md"]},{"name":"click-path-audit","description":"Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons","files":["SKILL.md"]},{"name":"clickhouse-architecture-advisor","description":"MUST USE when designing ClickHouse architectures, selecting between ingestion or modeling patterns, or translating best practices into workload-specific system designs. Complements clickhouse-best-practices with decision frameworks and explicit provenance labels.","files":["SKILL.md","AGENTS.md","README.md","examples/README.md","examples/finserv-market-surveillance.md","examples/observability-high-throughput.md","examples/siem-security-analytics.md","mappings/doc_links.yaml","metadata.json","rules/decision-ingestion-strategy.md","rules/decision-join-enrichment.md","rules/decision-late-arriving-upserts.md","rules/decision-partitioning-timeseries.md","rules/decision-real-time-preaggregation.md","schemas/recommendation_schema.yaml"]},{"name":"clickhouse-io","description":"ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.","files":["SKILL.md"]},{"name":"clickhouse-js-node-coding","description":"Write idiomatic application code with the ClickHouse Node.js client (`@clickhouse/client`). Use this skill whenever a user is *building* against the Node.js client — configuring the client, pinging, inserting rows in JSON or raw formats, selecting and parsing results, binding query parameters, manag","files":["SKILL.md","reference/async-insert.md","reference/client-configuration.md","reference/compression.md","reference/custom-json.md","reference/data-types.md","reference/insert-columns.md","reference/insert-formats.md","reference/insert-values.md","reference/ping.md","reference/query-parameters.md","reference/select-formats.md","reference/sessions.md"]},{"name":"clickhouse-js-node-troubleshooting","description":"Troubleshoot and resolve common issues with the ClickHouse Node.js client (@clickhouse/client). Use this skill whenever a user reports errors, unexpected behavior, or configuration questions involving the Node.js client specifically — including socket hang-up errors, Keep-Alive problems, stream hand","files":["SKILL.md","reference/compression.md","reference/data-types.md","reference/logging.md","reference/proxy-pathname.md","reference/query-format-clause.md","reference/query-params.md","reference/readonly-users.md","reference/socket-hangup.md","reference/tls.md"]},{"name":"clickhouse-managed-postgres-rca","description":"MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.","files":["SKILL.md","AGENTS.md","README.md","metadata.json","rules/heuristic-full-scan.md","rules/heuristic-hot-loop.md","rules/heuristic-write-congestion.md","rules/openapi-discovery.md","rules/output-template.md","rules/prometheus-scrape.md","rules/recommend-only.md","rules/slow-query-patterns-fields.md","rules/triage.md"]},{"name":"clickmeeting-automation","description":"Automate Clickmeeting tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"client-setup","description":"Create a vanilla tRPC client with createTRPCClient<AppRouter>(), configure link chain with httpBatchLink/httpLink, dynamic headers for auth, transformer on links (not client constructor). Infer types with inferRouterInputs and inferRouterOutputs. AbortController signal support. TRPCClientError typin","files":["SKILL.md"]},{"name":"clinical-decision-support","description":"Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.","files":["SKILL.md","assets/aggregate_cohort_table_template.json","assets/aggregate_model_evaluation_template.json","assets/artifact_intended_use_template.json","assets/decision_logic_traceability_template.json","assets/deidentification_checklist_template.json","assets/evidence_profile_template.json","assets/survival_analysis_plan_template.json","references/README.md","references/cohort_evaluation.md","references/decision_logic_traceability.md","references/evidence_profiles.md","references/model_biomarker_evaluation.md","references/privacy_and_disclosure.md","references/regulatory_and_governance.md","references/safety_and_scope.md","references/security_validation.md","references/sources.md","references/study_reporting.md","references/survival_analysis.md","scripts/_common.py","scripts/cohort_table_generator.py","scripts/decision_logic_traceability.py","scripts/deidentification_checklist.py","scripts/evidence_profile_check.py","scripts/model_biomarker_evaluation.py","scripts/survival_plan_validator.py","scripts/validate_cds_artifact.py"]},{"name":"clip","description":"OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understandin","files":["SKILL.md","references/applications.md"]},{"name":"cloud-architect","description":"Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Fra","files":["SKILL.md","references/aws.md","references/azure.md","references/cost.md","references/gcp.md","references/multi-cloud.md"]},{"name":"cloud-build-basics","description":"Teaches the fundamentals of Cloud Build on Google Cloud. Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures.","files":["SKILL.md","references/cb-create-trigger.md","references/cb-list-build-zero-state.md","references/cb-run-trigger.md"]},{"name":"cloud-databases-onboarding","description":"Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on","files":["SKILL.md","references/onboarding_prompts.md","references/recommendation_matrix.txt","references/selection_prompts.md","scripts/database_onboarding_skill.py"]},{"name":"cloud-defense","description":"Detect and break the cloud post-compromise attack chain (AWS / Azure / GCP) — per-stage CloudTrail / Activity-Log / Audit-Log detection signals and the preventive controls that close each step. Use for cloud detection engineering, hardening, remediation write-ups, or blue-team posture review of the ","files":["SKILL.md","reference/INDEX.md","reference/detection-signals.md","reference/hardening-controls.md"]},{"name":"cloud-design-patterns","description":"Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.","files":["SKILL.md","references/architecture-design.md","references/azure-service-mappings.md","references/best-practices.md","references/deployment-operational.md","references/event-driven.md","references/messaging-integration.md","references/performance.md","references/reliability-resilience.md","references/security.md"]},{"name":"cloud-integrations","description":"# Grafana Cloud Integrations","files":["SKILL.md"]},{"name":"cloud-logging-configuration-basics","description":"Configure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use ","files":["SKILL.md"]},{"name":"cloud-logging-cross-project-configuration","description":"Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cros","files":["SKILL.md"]},{"name":"cloud-logging-query-generation","description":"Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Clou","files":["SKILL.md","references/api_reference.md","references/query_app_engine.md","references/query_audit_logs.md","references/query_bigquery.md","references/query_cloud_functions.md","references/query_cloud_observability.md","references/query_cloud_run.md","references/query_cloud_source_repositories.md","references/query_cloud_sql.md","references/query_cloud_storage.md","references/query_cloud_tasks.md","references/query_compute_engine.md","references/query_dataflow.md","references/query_dataproc.md","references/query_deployment_manager.md","references/query_gke.md","references/query_iam.md","references/query_networking.md","references/query_security.md","references/query_service_usage.md","references/query_spanner.md","references/query_third_party.md"]},{"name":"cloud-monitoring-chart-generation","description":"Generates Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos on Google Cloud from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for","files":["SKILL.md","scripts/assemble_widget_proto.py","scripts/assemble_widget_proto_test.py","scripts/compute_labels.py","scripts/compute_labels_test.py","scripts/requirements.txt","scripts/textproto_util.py","scripts/textproto_util_test.py","scripts/validate_chart.py","scripts/validate_chart_test.py"]},{"name":"cloud-monitoring-list-time-series-request","description":"Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitori","files":["SKILL.md","references/basic_aggregations.md"]},{"name":"cloud-monitoring-metric-selection","description":"Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value ","files":["SKILL.md"]},{"name":"cloud-monitoring-promql-query","description":"Generates valid PromQL queries from Cloud Monitoring metric descriptors and resource parameters. Use when asked to create, generate, write, or format PromQL queries, PromQL strings, or PromQL aggregations for Cloud Monitoring metrics and resources. Don't use for raw metric discovery or metric select","files":["SKILL.md","references/basic_aggregations.md","references/promql_error_recovery.md","scripts/validate_promql.py","scripts/validate_promql_test.py"]},{"name":"cloud-onboarding","description":"Onboard an Elastic Cloud organization: configure the `elastic` CLI's Cloud context and API key, establish a default region, then invite users, assign predefined or custom Serverless project roles, and create or revoke Cloud API keys. Use when setting up Cloud authentication or when granting, modifyi","files":["SKILL.md","references/api-reference.md"]},{"name":"cloud-provisioning","description":"Provision and operate Elastic Cloud infrastructure: create, connect to, update, and delete Serverless projects (Elasticsearch, Observability, Security); manage traffic filters (IP and AWS PrivateLink network security); and manage the lifecycle of Elastic Cloud Hosted deployments. Use when creating o","files":["SKILL.md","references/api-reference.md","references/credentials-and-context.md","references/hosted-deployments.md","references/traffic-filters.md"]},{"name":"cloud-run-alert-configuration","description":"Configures best-practice, high-signal alerting policies for Cloud Run resources on Google Cloud (services, jobs, and worker pools) based on seasoned SRE practices. Use when analyzing, recommending, writing, or deploying Terraform PromQL alerting policies to monitor Cloud Run error rates (4xx/5xx), r","files":["SKILL.md","references/jobs.md","references/services.md","references/worker_pools.md"]},{"name":"cloud-run-basics","description":"Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).","files":["SKILL.md","references/cli-usage.md","references/client-library-usage.md","references/core-concepts.md","references/iac-usage.md","references/iam-security.md","references/mcp-usage.md","references/networking.md"]},{"name":"cloud-solution-architect","description":"Transform the agent into a Cloud Solution Architect following Azure Architecture Center best practices. Use when designing cloud architectures, reviewing system designs, selecting architecture styles, applying cloud design patterns, making technology choices, or conducting Well-Architected Framework","files":["SKILL.md","references/architecture-styles.md","references/best-practices.md","references/design-patterns.md","references/design-principles.md","references/mission-critical.md","references/performance-antipatterns.md","references/technology-choices.md"]},{"name":"cloud-sql-basics","description":"This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL crea","files":["SKILL.md","references/cli-usage.md","references/client-library-usage.md","references/core-concepts.md","references/dr-backups.md","references/iac-usage.md","references/iam-security.md","references/mcp-usage.md"]},{"name":"cloudcart-automation","description":"Automate Cloudcart tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudconvert-automation","description":"Automate Cloudconvert tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudflare-api-key-automation","description":"Automate Cloudflare API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudflare-automation","description":"Automate Cloudflare tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudflare-browser-rendering","description":"Cloudflare Browser Rendering with Puppeteer/Playwright. Use for screenshots, PDFs, web scraping, or encountering rendering errors, timeout issues, memory exceeded.","files":["SKILL.md","references/common-errors.md","references/patterns.md","references/pricing-and-limits.md","references/puppeteer-api.md","references/puppeteer-vs-playwright.md","references/session-management.md","scripts/check-versions.sh","templates/ai-enhanced-scraper.ts","templates/basic-screenshot.ts","templates/pdf-generation.ts","templates/playwright-example.ts","templates/screenshot-with-kv-cache.ts","templates/session-reuse.ts","templates/web-scraper-basic.ts","templates/web-scraper-batch.ts","templates/wrangler-browser-config.jsonc"]},{"name":"cloudflare-browser-rendering-automation","description":"Automate Cloudflare Browser Rendering tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudflare-cron-triggers","description":"Cloudflare Cron Triggers for scheduled Workers execution. Use for periodic tasks, scheduled jobs, or encountering handler not found, invalid cron expression, timezone errors.","files":["SKILL.md","references/common-patterns.md","references/cron-expressions-reference.md","references/integration-patterns.md","references/testing-guide.md","references/wrangler-config.md","templates/basic-scheduled.ts","templates/hono-with-scheduled.ts","templates/multiple-crons.ts","templates/scheduled-with-bindings.ts","templates/wrangler-cron-config.jsonc"]},{"name":"cloudflare-d1","description":"Cloudflare D1 serverless SQLite on edge. Use for databases, migrations, bindings, or encountering D1_ERROR, statement too long, too many requests queued errors.","files":["SKILL.md","references/2025-features.md","references/best-practices.md","references/limits.md","references/metrics-analytics.md","references/query-patterns.md","references/read-replication.md","references/setup-guide.md","templates/d1-setup-migration.sh","templates/d1-worker-queries.ts"]},{"name":"cloudflare-email-service","description":"Implement or troubleshoot Cloudflare Email Sending and Email Routing integrations and their delivery configuration.","files":["SKILL.md","references/cli-and-mcp.md","references/deliverability.md","references/rest-api.md","references/routing.md","references/sending.md"]},{"name":"cloudflare-manager","description":"Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying cloudflare services, managing worker containers, configuring KV/R2 storage, or setting up DNS/routing. Requires CLOUDFLARE_API_KEY in .env and Bun runtime with dependencies i","files":["SKILL.md","scripts/install-cloudflare-manager.sh"]},{"name":"cloudflare-nextjs","description":"Deploy Next.js to Cloudflare Workers via the OpenNext adapter (@opennextjs/cloudflare). Use for SSR/ISR/SSG/App or Pages Router, getCloudflareContext, bindings (D1/R2/KV/AI/Hyperdrive), caching tiers, skew protection, multi-worker, custom worker, env vars, or worker size/runtime/keep_names/Finalizat","files":["SKILL.md","assets/workflow-diagram.md","references/advanced.md","references/bindings-and-services.md","references/caching.md","references/database-client-example.ts","references/dev-deploy-and-env.md","references/error-catalog-extended.md","references/feature-support.md","references/known-issues.md","references/open-next.config.ts","references/package.json","references/troubleshooting.md","references/wrangler.jsonc","scripts/analyze-bundle.sh","scripts/setup-existing-project.sh","scripts/setup-new-project.sh"]},{"name":"cloudflare-one","description":"Design, configure, troubleshoot, or review Cloudflare One Zero Trust and SASE deployments. Use cloudflare-one-migrations for migration planning from other vendors.","files":["SKILL.md"]},{"name":"cloudflare-one-migrations","description":"Assess and plan migrations from existing VPN, SWG, or SASE platforms to Cloudflare One, including policy mapping, parity gaps, and rollout.","files":["SKILL.md"]},{"name":"cloudflare-pages","description":"Deploy static sites and full-stack apps on Cloudflare Pages with previews, functions, and custom domains.","files":["SKILL.md"]},{"name":"cloudflare-queues","description":"This skill should be used when the user asks to \\\"set up Cloudflare Queues\\\", \\\"create a message queue\\\", \\\"implement queue consumer\\\", \\\"process background jobs\\\", \\\"configure queue retry logic\\\", \\\"publish messages to queue\\\", \\\"implement dead letter queue\\\", or encountering \\\"queue timeout\\\", \\\"m","files":["SKILL.md","references/best-practices.md","references/consumer-api.md","references/error-catalog.md","references/http-publishing.md","references/producer-api.md","references/production-checklist.md","references/pull-consumers.md","references/r2-event-integration.md","references/setup-guide.md","references/typescript-types.md","references/wrangler-commands.md","templates/queues-consumer-basic.ts","templates/queues-consumer-explicit-ack.ts","templates/queues-dlq-pattern.ts","templates/queues-producer.ts","templates/queues-retry-with-delay.ts","templates/wrangler-queues-config.jsonc"]},{"name":"cloudflare-r2","description":"Cloudflare R2 S3-compatible object storage. Use for buckets, uploads, CORS, presigned URLs, or encountering R2_ERROR, CORS failures, multipart issues.","files":["SKILL.md","references/advanced-features.md","references/cloudflare-access-integration.md","references/common-patterns.md","references/cors-configuration.md","references/data-catalog-iceberg.md","references/event-notifications.md","references/performance-optimization.md","references/r2-sql-integration.md","references/s3-compatibility.md","references/setup-guide.md","references/workers-api.md","templates/r2-cors-config.json","templates/r2-multipart-upload.ts","templates/r2-presigned-urls.ts","templates/r2-simple-upload.ts","templates/wrangler-r2-config.jsonc"]},{"name":"cloudflare-turnstile","description":"This skill should be used when the user asks to \\\"add turnstile\\\", \\\"implement bot protection\\\", \\\"validate turnstile token\\\", \\\"fix turnstile error\\\", \\\"setup captcha alternative\\\", or encounters error codes 100*/300*/600*, CSP errors, or token validation failures. Provides CAPTCHA-alternative prot","files":["SKILL.md","references/advanced-topics.md","references/browser-support.md","references/common-patterns.md","references/error-codes.md","references/migration-guide.md","references/mobile-implementation.md","references/react-integration.md","references/setup-checklist.md","references/testing-guide.md","references/widget-configs.md","scripts/check-csp.sh","templates/turnstile-hono-route.ts","templates/turnstile-server-validation.ts","templates/turnstile-test-config.ts","templates/turnstile-widget-explicit.ts","templates/wrangler-turnstile-config.jsonc"]},{"name":"cloudflare-vectorize","description":"Cloudflare Vectorize vector database for semantic search and RAG. Use for vector indexes, embeddings, similarity search, or encountering dimension mismatches, filter errors.","files":["SKILL.md","references/embedding-models.md","references/index-operations.md","references/integration-openai-embeddings.md","references/integration-workers-ai-bge-base.md","references/metadata-guide.md","references/vector-operations.md","references/wrangler-commands.md","templates/basic-search.ts","templates/document-ingestion.ts","templates/metadata-filtering.ts","templates/rag-chat.ts"]},{"name":"cloudflare-workers","description":"Build and deploy edge functions with Cloudflare Workers and Wrangler. Use for APIs, cron jobs, and edge middleware.","files":["SKILL.md"]},{"name":"cloudflare-workers-ai","description":"Cloudflare Workers AI for serverless GPU inference. Use for LLMs, text/image generation, embeddings, or encountering AI_ERROR, rate limits, token exceeded errors.","files":["SKILL.md","references/best-practices.md","references/integrations.md","references/models-catalog.md","templates/ai-embeddings-rag.ts","templates/ai-gateway-integration.ts","templates/ai-image-generation.ts","templates/ai-text-generation.ts","templates/ai-vision-models.ts","templates/wrangler-ai-config.jsonc"]},{"name":"cloudflare-workers-ci-cd","description":"Complete CI/CD guide for Cloudflare Workers using GitHub Actions and GitLab CI. Use for automated testing, deployment pipelines, preview environments, secrets management, or encountering deployment failures, workflow errors, environment configuration issues.","files":["SKILL.md","references/deployment-strategies.md","references/github-actions.md","references/gitlab-ci.md","references/secrets-management.md","scripts/verify-deployment.sh","templates/github-actions-full.yml","templates/gitlab-ci-full.yml","templates/preview-deployment.yml","templates/rollback-workflow.yml"]},{"name":"cloudflare-workers-frameworks","description":"Framework integration for Cloudflare Workers. Use when building with Hono, Remix, Next.js, Astro, SvelteKit, Qwik, or Nuxt on Workers. Covers routing, SSR, static assets, and edge deployment.","files":["SKILL.md","references/astro.md","references/hono.md","references/nextjs.md","references/nuxt.md","references/qwik.md","references/remix.md","references/sveltekit.md","templates/hono-app.ts","templates/nextjs-route.ts","templates/nuxt-server.ts","templates/sveltekit-route.ts"]},{"name":"cloudflare-workers-migration","description":"Migrate to Cloudflare Workers from AWS Lambda, Vercel, Express, and Node.js. Use when porting existing applications to the edge, adapting serverless functions, or resolving Node.js API compatibility issues.","files":["SKILL.md","references/express-migration.md","references/lambda-migration.md","references/node-compatibility.md","references/vercel-migration.md","scripts/analyze-migration.sh","templates/express-adapter.ts","templates/lambda-adapter.ts","templates/node-compat.ts","templates/vercel-adapter.ts"]},{"name":"cloudflare-workers-multi-lang","description":"Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.","files":["SKILL.md","references/python-workers.md","references/rust-workers.md","references/wasm-integration.md","scripts/build-rust.sh","scripts/build-wasm.sh","templates/python-worker.py","templates/rust-worker.rs","templates/wasm-worker.ts"]},{"name":"cloudflare-workers-observability","description":"Cloudflare Workers observability with logging, Analytics Engine, Tail Workers, metrics, and alerting. Use for monitoring, debugging, tracing, or encountering log parsing, metric aggregation, alert configuration errors.","files":["SKILL.md","references/alerting.md","references/analytics-engine.md","references/custom-metrics.md","references/logging.md","references/tail-workers.md","scripts/analyze-logs.sh","scripts/setup-logging.sh","templates/analytics-worker.ts","templates/logging-setup.ts","templates/tail-worker.ts"]},{"name":"cloudflare-workers-performance","description":"Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors.","files":["SKILL.md","references/bundle-optimization.md","references/caching-strategies.md","references/cold-starts.md","references/cpu-optimization.md","references/memory-optimization.md","scripts/benchmark.sh","scripts/profile-worker.sh","templates/caching-layer.ts","templates/optimized-worker.ts","templates/performance-middleware.ts"]},{"name":"cloudflare-workers-runtime-apis","description":"Cloudflare Workers Runtime APIs including Fetch, Streams, Crypto, Cache, WebSockets, and Encoding. Use for HTTP requests, streaming, encryption, caching, real-time connections, or encountering API compatibility, response handling, stream processing errors.","files":["SKILL.md","references/cache-api.md","references/crypto-api.md","references/encoding-api.md","references/fetch-api.md","references/streams-api.md","references/websockets.md","templates/crypto-operations.ts","templates/fetch-patterns.ts","templates/stream-processing.ts","templates/websocket-handler.ts"]},{"name":"cloudflare-workers-security","description":"Cloudflare Workers security with authentication, CORS, rate limiting, input validation. Use for securing APIs, JWT/API keys, or encountering auth failures, CORS errors, XSS/injection vulnerabilities.","files":["SKILL.md","references/authentication.md","references/cors-security.md","references/input-validation.md","references/rate-limiting.md","references/secrets-management.md","references/security-headers.md","scripts/security-audit.sh","templates/auth-middleware.ts","templates/cors-handler.ts","templates/rate-limiter.ts","templates/secure-worker.ts"]},{"name":"cloudflare-workers-testing","description":"Comprehensive testing guide for Cloudflare Workers using Vitest and @cloudflare/vitest-pool-workers. Use for test setup, binding mocks (D1/KV/R2/DO), integration tests, or encountering test failures, mock errors, coverage issues.","files":["SKILL.md","references/binding-mocks.md","references/coverage-optimization.md","references/integration-testing.md","references/troubleshooting.md","references/vitest-setup.md","scripts/run-tests.sh","scripts/setup-vitest.sh","templates/basic-test.ts","templates/binding-mock-test.ts","templates/vitest-config.ts"]},{"name":"cloudflare-workflows","description":"Cloudflare Workflows for durable long-running execution. Use for multi-step workflows, retries, state persistence, or encountering NonRetryableError, execution failed errors.","files":["SKILL.md","references/2025-features.md","references/common-issues.md","references/limits-quotas.md","references/metrics-analytics.md","references/production-checklist.md","references/troubleshooting.md","references/workflow-patterns.md","references/wrangler-commands.md","templates/basic-workflow.ts","templates/circuit-breaker-workflow.ts","templates/parallel-execution-workflow.ts","templates/scheduled-workflow.ts","templates/worker-trigger.ts","templates/workflow-with-events.ts","templates/workflow-with-retries.ts","templates/wrangler-workflows-config.jsonc"]},{"name":"cloudformation","description":"Deploy AWS resources with CloudFormation templates. Create stacks, use nested stacks, and implement drift detection. Use when deploying AWS-native IaC.","files":["SKILL.md","references/cfn-syntax.md"]},{"name":"cloudformation-to-pulumi","description":"Convert, migrate, or import AWS CloudFormation stacks or templates into Pulumi programs. Load this skill whenever a user wants to move from CloudFormation to Pulumi, convert a CFN template, import existing CloudFormation-managed resources into Pulumi, or asks about CloudFormation-to-Pulumi migration","files":["SKILL.md","agents/openai.yaml","cfn-importer.md","cloudformation-id-lookup.md","use_cases.yaml"]},{"name":"cloudfront","description":"Configures Amazon CloudFront content delivery across six workflows: when to use CloudFront and how it fits with AWS WAF, Shield, CloudFront Functions, Lambda@Edge, Route 53, and origins (creating a distribution, caching, and Flat Rate Pricing (FRP) versus pay-as-you-go pricing); managing custom-doma","files":["SKILL.md","references/cloudfront-observability.md","references/managing-certificates-with-cloudfront.md","references/multi-tenant-distributions.md","references/protecting-your-origins.md","references/securing-your-content.md","references/when-to-use-cloudfront.md"]},{"name":"cloudlayer-automation","description":"Automate Cloudlayer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cloudpress-automation","description":"Automate Cloudpress tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"coassemble-automation","description":"Automate Coassemble tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cobrapy","description":"Performs constraint-based metabolic modeling with COBRApy, including FBA, pFBA, FVA, gene knockouts, flux sampling, growth media, production envelopes, gap filling, and SBML model validation for systems biology and metabolic engineering.","files":["SKILL.md","references/api_quick_reference.md","references/workflows.md"]},{"name":"codacy-automation","description":"Automate Codacy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"code-documentation","description":"Guide for writing effective code documentation, including docstrings, JSDoc, dartdoc, and implementation comments. Use this skill when writing new code, adding features, or improving existing documentation in Dart, Python, or TypeScript to ensure clarity and maintainability.","files":["SKILL.md","references/dart.md","references/python.md","references/typescript.md"]},{"name":"code-documenter","description":"Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides","files":["SKILL.md","references/api-docs-fastapi-django.md","references/api-docs-nestjs-express.md","references/coverage-reports.md","references/documentation-systems.md","references/interactive-api-docs.md","references/python-docstrings.md","references/typescript-jsdoc.md","references/user-guides-tutorials.md"]},{"name":"code-exemplars-blueprint-generator","description":"Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods,","files":["SKILL.md"]},{"name":"code-improver","description":"Runs an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to","files":["SKILL.md"]},{"name":"code-maturity-assessor","description":"Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing, then produces a scorecard with evidence-based ratings and ","files":["SKILL.md","agents/openai.yaml","resources/ASSESSMENT_CRITERIA.md","resources/EXAMPLE_REPORT.md","resources/REPORT_FORMAT.md"]},{"name":"code-review","description":"Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them s","files":["SKILL.md","agents/openai.yaml"]},{"name":"code-review-excellence","description":"Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.","files":["SKILL.md"]},{"name":"code-reviewer","description":"Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull reques","files":["SKILL.md","references/common-issues.md","references/feedback-examples.md","references/receiving-feedback.md","references/report-template.md","references/review-checklist.md","references/spec-compliance-review.md"]},{"name":"code-simplification","description":"Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.","files":["SKILL.md"]},{"name":"code-simplifier","description":"Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to \"simplify code\", \"clean up code\", \"refactor for clarity\", \"improve readability\", or review recently modified code for elegance. Focuses on project-specific best practices.","files":["SKILL.md"]},{"name":"code-tour","description":"Create CodeTour `.tour` files — persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests. Use when the user asks for a code tour, onboarding walkthrough, PR ","files":["SKILL.md"]},{"name":"codebase-design","description":"Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.","files":["SKILL.md","DEEPENING.md","DESIGN-IT-TWICE.md","agents/openai.yaml"]},{"name":"codebase-memory-mcp","description":"Use when exploring unfamiliar code, mapping architecture, finding symbols or relationships, tracing callers, callees, data flow or dependencies, assessing impact, auditing dead or complex code, or handling explicit Codebase Memory requests. Otherwise skip tasks confined to a supplied known file, tin","files":["SKILL.md"]},{"name":"codebase-onboarding","description":"Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.","files":["SKILL.md"]},{"name":"codehealth-mcp","description":"Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.","files":["SKILL.md"]},{"name":"codeinterpreter-automation","description":"Automate Codeinterpreter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"codereadr-automation","description":"Automate Codereadr tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"coding-standards","description":"Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns. Use when reviewing code quality or naming with no framework-specific skill that applies.","files":["SKILL.md"]},{"name":"codonfm-embed","description":"Validate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling.","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","evals/files/encodon_checkpoint.json","references/checkpoint-selection.md","scripts/validate_inputs.py","skill-card.md","tests/test_validate_inputs.py"]},{"name":"codonfm-finetune","description":"Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a user explicitly asks to fine-tune CodonFM or Encodon for regression or classification. Support generic public-v1 Encodon workflows only; reject Decodo","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","evals/files/encodon_checkpoint.json","evals/files/ribonn_smoke.provenance.json","evals/files/variants_labeled.provenance.json","scripts/prepare_ribonn.py","skill-card.md"]},{"name":"codonfm-score","description":"Validate, prepare, or run public CodonFM Encodon masked-codon variant scoring and review compatibility of its scoring workflows. Use only when the user explicitly requests CodonFM or Encodon, or that context is already established in the conversation. Do not select this skill for a generic variant-s","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/config.yml","evals/evals.json","evals/files/encodon_checkpoint.json","skill-card.md"]},{"name":"codonfm-setup","description":"Set up the public CodonFM v1 repository and download public Encodon checkpoints. Use for requests to build or launch the CodonFM development container, configure local data/checkpoint mounts, verify GPU access, or download public Encodon 80M, 600M, 1B, or Cdwt-1B weights. Do not use for Decodon, Enc","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/config.yml","evals/evals.json","evals/files/encodon_checkpoint.json","skill-card.md"]},{"name":"coinmarketcal-automation","description":"Automate Coinmarketcal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"coinmarketcap-automation","description":"Automate Coinmarketcap tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"coinranking-automation","description":"Automate Coinranking tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"college-football-data-automation","description":"Automate College Football Data tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"comment-code-generate-a-tutorial","description":"Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.","files":["SKILL.md"]},{"name":"commercial","description":"Plan and run commercial image or video production with genmedia. Use this for product photography, ads, e-commerce batches, product reveals, lifestyle commercials, background replacement, social formats, and brand-safe prompt work.","files":["SKILL.md","references/examples.md","references/prompt-patterns.md","references/workflows.md"]},{"name":"commit","description":"Use for every request to commit changes or draft a commit message. Creates Sentry-style conventional commits with issue references.","files":["SKILL.md"]},{"name":"commit-message-storyteller","description":"Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to \"write a commit message\", \"generate a commit\", \"describe my changes\", \"what should I commit this as\", \"com","files":["SKILL.md","references/conventional-commits-guide.md"]},{"name":"common-accessibility","description":"Enforce WCAG 2.2 AA compliance with semantic HTML, ARIA roles, keyboard navigation, and color contrast standards for web UIs. Use when building interactive components, adding form labels, fixing focus traps, or auditing a11y compliance.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"common-api-design","description":"Apply REST API conventions — HTTP semantics, status codes, versioning, pagination, and OpenAPI standards for any framework. Use when designing endpoints, choosing HTTP methods, implementing pagination, or writing OpenAPI specs.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"common-architecture-audit","description":"Audit structural debt, logic leakage, and monolithic components across Web, Mobile, and Backend codebases. Use when reviewing architecture, assessing tech debt, detecting logic in wrong layers, or identifying God classes.","files":["SKILL.md","evals/evals.json","references/PATTERNS.md","references/detection.md","references/implementation.md"]},{"name":"common-best-practices","description":"Enforce SOLID principles, guard-clause style, function size limits, and intention-revealing naming across all languages. Use when refactoring for readability, applying clean-code patterns, reviewing naming conventions, or reducing function complexity.","files":["SKILL.md","evals/evals.json","references/CODE_STRUCTURE.md","references/EFFECTIVENESS.md"]},{"name":"common-business-requirements","description":"Standardize BRD and BRD-lite discovery for business goals, stakeholder impact, current-to-future state, and measurable value outcomes. Use when creating BRD, business case, project justification, ROI narrative, or AS-IS to TO-BE scope.","files":["SKILL.md","evals/evals.json","references/brd-template.md","references/checklist.md","references/standards-baseline.md"]},{"name":"common-code-review","description":"Conduct high-quality, persona-driven code reviews. Use when reviewing PRs, critiquing code quality, or analyzing changes for team feedback.","files":["SKILL.md","evals/evals.json","references/checklist.md","references/lenses.md","references/output-format.md","references/report.md","references/request-template.md"]},{"name":"common-context-optimization","description":"Manage context and prompt-cache costs without losing task state. Use for context management, orchestration cost, token budgets, large tool outputs, cache misses, or long-running conversations.","files":["SKILL.md","references/compaction.md","references/implementation.md","references/masking.md"]},{"name":"common-debugging","description":"Troubleshoot systematically using the Scientific Method. Use when debugging crashes, tracing errors, diagnosing unexpected behavior, or investigating exceptions.","files":["SKILL.md","evals/evals.json","references/bug-report-template.md"]},{"name":"common-decision-discipline","description":"Right-size, ground, and gate SDLC decisions with SNC-sized depth, said-vs-assumed write-back, an evidence ledger, honest option cards, recorded approval, and self-review. Use when running brainstorm-feature, plan-feature, design-solution, or system-design-session.","files":["SKILL.md","evals/evals.json","references/contract-template.md","references/evidence-ledger.md","references/option-card.md"]},{"name":"common-documentation","description":"Write effective code comments, READMEs, and technical documentation following intent-first principles. Use when adding comments, writing docstrings, creating READMEs, or updating any documentation.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"common-error-handling","description":"Cross-cutting standards for error design, response shapes, error codes, and boundary placement across API, domain, and infrastructure layers. Use when defining error hierarchies, wrapping exceptions, building standardized error responses, or placing error boundaries in layered architectures.","files":["SKILL.md","evals/evals.json","references/api-error-contract.md","references/implementation.md"]},{"name":"common-exploit-verification","description":"Enforce \"No Exploit, No Report\" policy with PoC construction standards, false-positive filtering, and evidence collection per vulnerability class across backend, frontend, and mobile. Use when validating security findings, constructing exploit proofs, filtering false positives, or writing pentest fi","files":["SKILL.md","evals/evals.json","references/exploit-playbook.md","references/false-positive-checklist.md"]},{"name":"common-family-ux","description":"Judge and shape UI/UX for products used by parents and young children - audience fit, accessibility, safety and trust, comfort, consistency, and human feel. Use when reviewing or designing family, parenting, or kids app screens on phone or tablet.","files":["SKILL.md","evals/evals.json","references/child-surface.md","references/human-feel.md","references/rubric.md"]},{"name":"common-feedback-reporter","description":"Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.","files":["SKILL.md","evals/evals.json","references/test-scenarios.md","references/violation-examples.md"]},{"name":"common-learning-log","description":"Append a learning entry to AGENTS_LEARNING.md when an AI agent makes a mistake. Auto-activates after a pre-write audit auto-fix, a retrospective correction loop, or a mid-session user correction. Use when: mistake, wrong, correction, my bad, agent error, learning log.","files":["SKILL.md","evals/evals.json","references/log-format.md"]},{"name":"common-llm-security","description":"OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction. Use when performing any security review touching LLM client code, prompt templates, agent tools, or vector stores.","files":["SKILL.md","evals/evals.json","references/owasp-llm.md"]},{"name":"common-mobile-animation","description":"Apply motion design principles for mobile apps covering timing curves, transitions, gestures, and performance-conscious animations. Use when implementing screen transitions, gesture-driven interactions, shared-element animations, or optimizing animation frame rates on iOS, Android, or Flutter.","files":["SKILL.md","evals/evals.json","references/animation-patterns.md","references/implementation.md"]},{"name":"common-mobile-ux-core","description":"Enforce universal mobile UX principles for touch-first interfaces including touch targets, safe areas, and mobile-specific interaction patterns. Use when building mobile screens, handling touch interactions, or validating safe area compliance.","files":["SKILL.md","evals/evals.json"]},{"name":"common-mobile-visual-testing","description":"Standardizes mobile UI audits, performance/scroll checks, RTL verification, and state-specific testing on iOS/Android.","files":["SKILL.md","evals/evals.json","references/scenarios.md"]},{"name":"common-observability","description":"Enforce structured JSON logging, OpenTelemetry distributed tracing, and RED metrics across backend services. Use when adding request correlation, setting up tracing spans, defining SLO burn-rate alerts, or instrumenting middleware.","files":["SKILL.md","evals/evals.json","references/implementation.md","references/observability-formats.md"]},{"name":"common-operator-profile","description":"Infer the requesting operator's technical fluency from message content (never ask directly) and adapt register — business, hybrid, or technical — across SDLC workflow output. Use when starting sdlc, brainstorm-feature, plan-feature, verify-work, publish-notes, or session-report, or whenever a reques","files":["SKILL.md","evals/evals.json"]},{"name":"common-owasp","description":"OWASP Top 10 audit checklists for Web Applications (2021), APIs (2023), and Mobile (2024). Use when performing any security review, PR review, or codebase audit touching web, mobile, or API code.","files":["SKILL.md","evals/evals.json","references/owasp-api.md","references/owasp-mobile.md","references/owasp-web.md"]},{"name":"common-pentest-methodology","description":"PTES-aligned penetration testing methodology for backend, frontend, and mobile. Provides attack taxonomy, exploit techniques per vulnerability class, and platform-specific test matrices. Use when executing pentest workflow, planning security assessments, mapping attack surfaces, or building threat m","files":["SKILL.md","evals/evals.json","references/compliance-mapping.md","references/continuous-pentest.md","references/exploit-techniques.md","references/owasp-mobile.md","references/platform-recon.md","references/report-template.md","references/threat-modeling.md"]},{"name":"common-performance-engineering","description":"Enforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"common-product-requirements","description":"Standardize PRD discovery and drafting for product scope, user outcomes, requirement IDs, and acceptance criteria. Use when creating PRD, product requirements, feature specification, or acceptance criteria plan.","files":["SKILL.md","evals/evals.json","references/checklist.md","references/lean-spec-template.md","references/prd-template.md"]},{"name":"common-protocol-enforcement","description":"Enforce Red-Team verification and adversarial protocol audit. Use only when verifying completion, performing self-scans, or checking protocol violations; do not activate for ordinary implementation, configuration, or unit-test requests.","files":["SKILL.md","evals/evals.json"]},{"name":"common-review-policy","description":"Define a repository review policy fixing what each review pass checks, how severities rank, which paths are skipped, the nit cap, and who approves. Use when review findings feel inconsistent or noisy, or when tuning an automated reviewer.","files":["SKILL.md","evals/evals.json","references/review-policy-template.md"]},{"name":"common-sdlc-metrics","description":"Define the delivery metrics contract for agent-assisted SDLC — DORA four plus per-stage indicators derived from artifact and git history, and the control bands that turn metric drift into a routed intake. Use when reporting cycle time, plan adherence, or defining response thresholds.","files":["SKILL.md","evals/evals.json","references/bands-template.yaml","references/metrics-schema.md"]},{"name":"common-security-standards","description":"Enforce universal security protocols for safe, resilient software. Use when implementing authentication, encryption, authorization, input validation, secret management, or any security-sensitive feature across any language or framework.","files":["SKILL.md","evals/evals.json","references/INJECTION_TESTING.md","references/VULNERABILITY_REMEDIATION.md","references/implementation.md"]},{"name":"common-session-retrospective","description":"Review session corrections, trigger misses and recurring agent mistakes to propose targeted skill-library changes. Use for retrospective, rework or routing-gap analysis before registry edits; load +common/common-learning-log for redacted evidence.","files":["SKILL.md","evals/evals.json","references/methodology.md"]},{"name":"common-skill-creator","description":"Standardizes the creation and evaluation of high-density Agent Skills (Claude, Cursor, Windsurf). Ensures skills achieve high Activation (specificity/completeness) and Implementation (conciseness/actionability) scores. Use when: writing or auditing SKILL.md, improving trigger accuracy, or refactorin","files":["SKILL.md","evals/evals.json","references/TEMPLATE.md","references/anti-patterns.md","references/benchmark.md","references/eval-workflow.md","references/lifecycle.md","references/resource-organization.md","references/rubric.md","references/size-limits.md","references/tessl-best-practices.md","references/testing.md","references/web-search-research.md"]},{"name":"common-software-requirements","description":"Standardize SRS and FRS specifications for technical behavior, interfaces, data contracts, quality constraints, and verification mapping. Use when writing SRS, functional specification, system behavior requirements, API/data contracts, or non-functional thresholds.","files":["SKILL.md","evals/evals.json","references/frs-checklist.md","references/requirements-standards-baseline.md","references/srs-template.md","references/standards-baseline.md"]},{"name":"common-stitch-design","description":"Drive Google Stitch over MCP safely - read screens, write and lint DESIGN.md, create design systems, and fix designs through variants instead of overwriting. Use when reviewing, editing, or generating Stitch screens or DESIGN.md files.","files":["SKILL.md","evals/evals.json","references/design-md.md","references/prompting.md","references/stitch-mcp.md","scripts/audit_html.js","scripts/audit_html.test.js"]},{"name":"common-store-changelog","description":"Generate user-facing release notes for the App Store and Google Play from git history (App Store <=4000 chars, Google Play <=500). Use when generating release notes, app store changelog, play store release, or \\\"what's new\\\" text for a mobile app.","files":["SKILL.md","evals/evals.json","references/commit_examples.md"]},{"name":"common-subagent-driven-development","description":"Execute multi-task implementation plans by dispatching a fresh implementer subagent per task with independent review gates. Use when implementing plans, executing multi-task PRs, or transitioning from planning to implementation.","files":["SKILL.md","evals/evals.json","references/methodology.md","references/progress-receipts.md","references/templates.md","scripts/review_package.py","scripts/sdd_progress.py","scripts/sdd_workspace.py","scripts/task_brief.py"]},{"name":"common-task-complexity-routing","description":"Scores a coding task on Spread, Novelty, and Centrality (SNC 0-6) and maps the tier to autonomy, verification depth, review mode, reviewers, model tier. Use when sizing a fix or feature before planning, choosing fast vs deep review, or deciding whether HARD STOP approval is required.","files":["SKILL.md","evals/evals.json","references/routing-table.md","references/snc-rubric.md"]},{"name":"common-tdd","description":"Guides quality-first TDD for new behavior, bug fixes, and test changes. Selects the smallest test layer, proves a distinct regression risk, and runs bounded RED-GREEN-REFACTOR verification.","files":["SKILL.md","evals/evals.json","references/aaa_example.md","references/aaa_methodology.md","references/anti-patterns.md","references/best-practices.md","references/quality-contract.md","references/tdd_patterns.md","references/test_runners.md","references/testing_anti_patterns.md"]},{"name":"common-telemetry","description":"Enforce session-cost telemetry and execution-metadata reporting. Use when explicitly invoking get_session_cost, reporting token/cost usage, applying telemetry or cost guidance during a workflow handoff, or writing artifacts/session-cost.md at a workflow terminal state.","files":["SKILL.md","evals/evals.json"]},{"name":"common-ui-design","description":"Design distinctive, production-grade frontend UI with bold aesthetic choices. Use when building web components, pages, interfaces, dashboards, or applications in any framework (React, Next.js, Angular, Vue, HTML/CSS).","files":["SKILL.md","evals/evals.json","references/motion.md","references/tones.md"]},{"name":"common-web-visual-testing","description":"Standardizes visual audits, responsive design, and behavioral testing for web apps. Use to verify a web UI fix or cross-browser behavior; defer backend API refactors, Playwright installation/tooling setup, and Appium/mobile automation.","files":["SKILL.md","evals/evals.json","references/diagnostic-decoder.md","references/dom-snapshot-vs-screenshot.md","references/login-and-test-data.md","references/scenarios.md"]},{"name":"common-workflow-writing","description":"Rules for writing concise, token-efficient workflow and skill files. Prevents over-building that requires costly optimization passes. Use when creating or editing workflow files, SKILL.md files, or new skill definitions.","files":["SKILL.md","evals/evals.json"]},{"name":"compare-models","description":"Compare Replicate models by cost, speed, quality, and capabilities.","files":["SKILL.md"]},{"name":"competitive-ads-extractor","description":"Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.","files":["SKILL.md"]},{"name":"competitive-landscape","description":"Analyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps. Use this skill when evaluating competitors, assessing market positioning, identifying sustainable competitive advantag","files":["SKILL.md"]},{"name":"competitive-platform-analysis","description":"Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-","files":["SKILL.md"]},{"name":"competitive-report-structure","description":"Assemble scored competitor profile cards (from benchmark-methodology) into a decision-grade competitive report with landscape map, competitor tiers, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Use when presenting competitive findings to","files":["SKILL.md"]},{"name":"competitor-ad-intelligence","description":"Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor''s paid ads. Trigger for prompts like \"what ads is [competitor] running\", \"tear down their ad strategy\", \"competitor ad analysis\", \"find ad angles we haven''t tried\", or \"reverse-engineer their paid funnel\". Do","files":["SKILL.md"]},{"name":"compose-multiplatform-patterns","description":"Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI. Use when building Compose or Jetpack Compose UI, state, navigation, or theming in a KMP project.","files":["SKILL.md"]},{"name":"composio-automation","description":"Automate Composio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"composio-search-automation","description":"Automate Composio Search tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"configure-ecc","description":"Run the conversational ECC setup wizard inside the current harness: inventory the install, collect scope (user/project/local) and hook mode (off/minimal/standard/strict) in Claude Code, use Codex's native plugin lifecycle, or install the project surface under ./.kimi-code, then preview, apply, and v","files":["SKILL.md"]},{"name":"configure-notifications","description":"Configure notification integrations (Telegram, Discord, Slack) via natural language","files":["SKILL.md"]},{"name":"configuring-dbt-mcp-server","description":"Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code.","files":["SKILL.md","references/environment-variables.md","references/finding-credentials.md","references/troubleshooting.md"]},{"name":"configuring-vpc-endpoints-for-private-aws-service-access","description":"Configures VPC endpoints (interface and gateway) for private AWS service access using AWS PrivateLink. Use when setting up secure private connectivity to S3, DynamoDB, and other AWS services without internet gateway, NAT device, or public IP addresses. Covers endpoint creation, security groups, rout","files":["SKILL.md","references/configure-vpc-endpoints-for-private-aws-service-access.md"]},{"name":"connect","description":"Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services.","files":["SKILL.md"]},{"name":"connect-apps","description":"Connect Claude to external apps like Gmail, Slack, GitHub. Use this skill when the user wants to send emails, create issues, post messages, or take actions in external services.","files":["SKILL.md"]},{"name":"connect-recommend","description":"Use this skill when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription platform, needs to pay out sellers, vendors, or providers, mentions spli","files":["SKILL.md","references/account-types.md","references/charge-patterns.md","references/company-researcher.md","references/compatibility-matrix.md","references/decision-matrix.md","references/discovery-questions.md","references/recommendation-template.md","references/terminology-rules.md"]},{"name":"connect-required-verification-information","description":"Use this skill when the user asks what information a Stripe Connect connected account must provide for verification, onboarding, KYC, or account requirements; when they need to compare requirements between connected-account setups; or when they ask which verification fields, documents, or business d","files":["SKILL.md"]},{"name":"connecteam-automation","description":"Automate Connecteam tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"connecting-lambda-to-api-gateway","description":"Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production s","files":["SKILL.md","references/lambda-gateway-api.md"]},{"name":"connecting-lambda-to-dynamodb","description":"Connects an AWS Lambda function to DynamoDB with IAM roles, stream event source mapping, and read/write permissions. Use when setting up Lambda-DynamoDB integration, processing DynamoDB stream events, or deploying serverless event-driven architectures.","files":["SKILL.md","references/lambda-dynamodb-connection.md"]},{"name":"connecting-to-data-source","description":"Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, con","files":["SKILL.md","references/bigquery-setup.md","references/credential-security.md","references/discovery.md","references/jdbc-setup.md","references/network-setup.md","references/snowflake-setup.md","references/troubleshooting.md"]},{"name":"connecting-vpcs-with-peering","description":"Establishes VPC peering connections between two VPCs for direct private network connectivity. Always use this skill when creating or managing VPC peering — it validates CIDR overlap, updates all route tables in both VPCs, configures DNS resolution, and provides security group guidance that are criti","files":["SKILL.md","references/vpc-peering-connection.md"]},{"name":"connections-optimizer","description":"Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-sign","files":["SKILL.md"]},{"name":"connectivity-triage","description":"Use this skill when debugging active macOS connectivity failures, when an API or MCP service times out or disconnects, when DNS resolution is failing or inconsistent, or when video calls or other interactive traffic show packet loss or latency. Isolate local-LAN, DNS, upstream-path, and remote-servi","files":["SKILL.md","references/details.md"]},{"name":"consciousness-council","description":"Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate anal","files":["SKILL.md","references/advanced-configurations.md"]},{"name":"constant-time-testing","description":"Measures timing side channels in cryptographic implementations by running them, using dudect for statistical analysis and Timecop over Valgrind for dynamic tracing. Covers the formal, symbolic, dynamic, and statistical tool categories and how to read a result. Use when testing whether a running impl","files":["SKILL.md","agents/openai.yaml"]},{"name":"constitutional-ai","description":"Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.","files":["SKILL.md"]},{"name":"constraint-driven-development","description":"Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-i","files":["SKILL.md","references/floor-guard.md"]},{"name":"container-hardening","description":"Secure Docker images and container runtime configurations. Implement non-root users, read-only filesystems, and security contexts. Use when building secure container images or hardening container deployments.","files":["SKILL.md","references/container-security.md"]},{"name":"containerize-aspnet-framework","description":"Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.","files":["SKILL.md"]},{"name":"containerize-aspnetcore","description":"Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.","files":["SKILL.md"]},{"name":"content-engine","description":"Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.","files":["SKILL.md"]},{"name":"content-experimentation-best-practices","description":"Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistica","files":["SKILL.md","references/cms-integration.md","references/common-pitfalls.md","references/experiment-design.md","references/statistical-foundations.md"]},{"name":"content-hash-cache-pattern","description":"Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.","files":["SKILL.md"]},{"name":"content-management-systems","description":"Workflow for building and modifying content management systems across WordPress, Shopify, Wix, Squarespace, Drupal, WooCommerce, Joomla, HubSpot CMS Hub, Webflow, Adobe Experience Manager, and similar platforms. Use when working on CMS themes, plugins, apps, modules, admin panels, media uploads, con","files":["SKILL.md","references/cms-platform-workflows.md"]},{"name":"content-modeling-best-practices","description":"Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating ","files":["SKILL.md","references/content-reuse.md","references/reference-vs-embedding.md","references/separation-of-concerns.md","references/taxonomy-classification.md"]},{"name":"content-research-writer","description":"Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.","files":["SKILL.md"]},{"name":"contentful-graphql-automation","description":"Automate Contentful Graphql tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"context-budget","description":"Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it n","files":["SKILL.md"]},{"name":"context-compression","description":"This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.","files":["SKILL.md","references/evaluation-framework.md","scripts/compression_evaluator.py","tests/test_compression_evaluator.py"]},{"name":"context-degradation","description":"This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.","files":["SKILL.md","references/patterns.md","scripts/degradation_detector.py"]},{"name":"context-driven-development","description":"Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the proj","files":["SKILL.md","references/artifact-templates.md","references/details.md"]},{"name":"context-engineering","description":"Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.","files":["SKILL.md"]},{"name":"context-fundamentals","description":"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpr","files":["SKILL.md","references/context-components.md","scripts/context_manager.py"]},{"name":"context-map","description":"Generate a map of all files relevant to a task before making changes","files":["SKILL.md"]},{"name":"context-optimization","description":"This skill should be used for improving context efficiency: context budgeting, observation masking, prefix or KV-cache strategy, partitioning, token-cost reduction, retrieval scoping, and extending effective context capacity without lowering answer quality.","files":["SKILL.md","references/optimization_techniques.md","scripts/compaction.py"]},{"name":"context-restore","description":"Restore working context saved earlier by /context-save. (gstack)","files":["SKILL.md"]},{"name":"context-save","description":"Save working context. (gstack)","files":["SKILL.md"]},{"name":"continual-learning","description":"Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.","files":["SKILL.md"]},{"name":"continuous-agent-loop","description":"Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.","files":["SKILL.md"]},{"name":"continuous-learning","description":"[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instea","files":["SKILL.md","config.json","evaluate-session.sh"]},{"name":"continuous-learning-v2","description":"Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination. Use when capturing lessons from a session, managing instincts, o","files":["SKILL.md","agents/observer-loop.sh","agents/observer.md","agents/session-guardian.sh","agents/start-observer.sh","config.json","hooks/observe.sh","scripts/detect-project.sh","scripts/instinct-cli.py","scripts/lib/homunculus-dir.sh","scripts/migrate-homunculus.sh","scripts/test_parse_instinct.py"]},{"name":"contract-first","description":"Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protocol Buffers, or JSON Schema), with generated consumer types and contract-verified integration. Use when parallel consumer and provider work must evolve an API or event","files":["SKILL.md"]},{"name":"control-d-automation","description":"Automate Control D tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"conventional-branch","description":"Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.","files":["SKILL.md"]},{"name":"conventional-commit","description":"Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.","files":["SKILL.md"]},{"name":"conventional-commit-review","description":"Reviews staged changes and drafts a Conventional Commits-compliant commit message with the right type, scope, and length. Use before committing, or when the user asks to write, fix, or review a commit message.","files":["SKILL.md"]},{"name":"conversion-tools-automation","description":"Automate Conversion Tools tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"convert-plaintext-to-md","description":"Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.","files":["SKILL.md"]},{"name":"convertapi-automation","description":"Automate Convertapi tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"convex","description":"Convex is the backend agents get right on the first try: an all-TypeScript reactive platform where the database, server functions, scheduling, file storage, auth, and realtime sync are one type-safe system, every function is a transaction, and `tsc` catches most mistakes before deploy. Ideal BOTH fo","files":["SKILL.md"]},{"name":"convex-add","description":"Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. 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Use when building real-time apps with type-safe server functions and automatic caching.","files":["SKILL.md"]},{"name":"convex-backup","description":"Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.","files":["SKILL.md"]},{"name":"convex-billing","description":"Add Stripe billing/payments to the Convex app via @convex-dev/stripe (checkout + webhook + gating).","files":["SKILL.md"]},{"name":"convex-cost","description":"Preview Convex spend — rank functions by bytes/documents-read × call-volume from insights, project each cost driver's growth curve, name the cheapest fix; confirm-cost for paid actions.","files":["SKILL.md"]},{"name":"convex-create-component","description":"# Convex Create Component","files":["SKILL.md","agents/openai.yaml","references/advanced-patterns.md","references/hybrid-components.md","references/local-components.md","references/packaged-components.md"]},{"name":"convex-crons","description":"Add recurring scheduled jobs (crons) to the Convex app.","files":["SKILL.md"]},{"name":"convex-deploy-guard","description":"Classify + announce the target Convex deployment before any deployment-affecting command; fresh explicit consent for prod actions; session read-only mode.","files":["SKILL.md"]},{"name":"convex-design","description":"Design and build reactive, type-safe, production-grade backends on Convex. Covers schema, queries/mutations/actions, indexes, auth, file storage, scheduling, real-time multiplayer, mobile backends, and LLM/agent workflows on Convex's one-platform stack.","files":["SKILL.md"]},{"name":"convex-docs","description":"Pull version-current Convex docs for the version this project uses — pin the installed version, fetch page-as-markdown or check node_modules types, freshness hierarchy — instead of writing a possibly-stale API from memory.","files":["SKILL.md"]},{"name":"convex-domains","description":"Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).","files":["SKILL.md"]},{"name":"convex-env","description":"Set and wire Convex deployment env vars / secrets for the app.","files":["SKILL.md"]},{"name":"convex-expert","description":"Convex backend specialist. Use this agent for any code inside a `convex/` directory — function definitions, schemas, indexes, queries, mutations, actions, HTTP endpoints, cron jobs, file storage, auth wiring, and component installation. Knows the object-form function syntax, validator patterns, reso","files":["SKILL.md"]},{"name":"convex-explain-app","description":"Explain an existing Convex app — data model + relationships, public vs internal functions, auth/ownership model, components, a request→data flow — read from the schema and function surface. Read-only.","files":["SKILL.md"]},{"name":"convex-insights","description":"Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.","files":["SKILL.md"]},{"name":"convex-launch-readiness","description":"Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan — Lighthouse for your backend.","files":["SKILL.md"]},{"name":"convex-migrate","description":"Migrate schema + backfill data on a deployed Convex app using @convex-dev/migrations.","files":["SKILL.md"]},{"name":"convex-migrate-rehearse","description":"Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.","files":["SKILL.md"]},{"name":"convex-monitor","description":"Watch for the next dev/prod error or request in a Convex app and react to it.","files":["SKILL.md"]},{"name":"convex-optimize","description":"Audit and optimize an existing Convex app: security, scale, upgrades, observability.","files":["SKILL.md"]},{"name":"convex-quickstart","description":"Get a barebones Convex + web template running from a one-sentence idea.","files":["SKILL.md","agents/openai.yaml"]},{"name":"convex-reviewer","description":"Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory. Use to review or audit Convex functions before shipping.","files":["SKILL.md"]},{"name":"convex-seed","description":"Seed or import data into the Convex database.","files":["SKILL.md"]},{"name":"convex-self-heal","description":"Production error → triaged, root-caused, repaired, and certified (tsc + rehearsal + reproduce-then-gone) fix PR for a human to merge — then confirm the error stops recurring. Never auto-merges.","files":["SKILL.md"]},{"name":"convex-sentinel","description":"Set up Sentinel production error capture in your own Convex deployment.","files":["SKILL.md"]},{"name":"convex-suggest","description":"Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.","files":["SKILL.md"]},{"name":"convex-test","description":"Generate convex-test tests for the app's Convex functions.","files":["SKILL.md"]},{"name":"convex-verify","description":"Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).","files":["SKILL.md"]},{"name":"conveyor-automation","description":"Automate Conveyor tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"convolo-ai-automation","description":"Automate Convolo AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"copilot-cli-quickstart","description":"Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say \"start tutorial\" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses C","files":["SKILL.md"]},{"name":"copilot-instructions-blueprint-generator","description":"Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.","files":["SKILL.md"]},{"name":"copilot-sdk","description":"Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable ag","files":["SKILL.md"]},{"name":"copilot-spaces","description":"Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a \"Copilot space\", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.","files":["SKILL.md"]},{"name":"copilot-usage-metrics","description":"Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.","files":["SKILL.md","get-enterprise-metrics.sh","get-enterprise-user-metrics.sh","get-org-metrics.sh","get-org-user-metrics.sh"]},{"name":"corrently-automation","description":"Automate Corrently tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cosmos-vulnerability-scanner","description":"Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Upda","files":["SKILL.md","CHANGELOG.md","agents/openai.yaml","resources/ADVANCED_VULNERABILITY_PATTERNS.md","resources/COSMWASM_VULNERABILITY_PATTERNS.md","resources/DISCOVERY.md","resources/EVM_VULNERABILITY_PATTERNS.md","resources/IBC_VULNERABILITY_PATTERNS.md","resources/STATE_VULNERABILITY_PATTERNS.md","resources/VULNERABILITY_PATTERNS.md"]},{"name":"cosmosdb-datamodeling","description":"Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: \"cosmosdb_requirements.md\" file and \"cosmosdb_data_model.md\" file","files":["SKILL.md"]},{"name":"cost-analysis","description":"Analyze actual Azure spend, bill changes, and AKS or AI costs. WHEN: \\\"Azure cost breakdown\\\", \\\"most expensive resources\\\", \\\"why did my bill increase\\\", \\\"cost spike\\\", \\\"unexpected charge\\\", \\\"Cosmos DB charges\\\", \\\"Foundry model costs\\\", \\\"AKS cluster cost\\\", \\\"namespace cost\\\", \\\"enable AKS cos","files":["SKILL.md","references/ai-cost-analysis.md","references/aks-anomaly.md","references/aks-cost-analysis.md","references/aks-enablement.md","references/cost-investigation.md","references/cost-query/dimensions-by-scope.md","references/cost-query/error-handling.md","references/cost-query/examples.md","references/cost-query/guardrails.md","references/cost-query/request-body-schema.md","references/cost-query/workflow.md","references/tools-and-safety.md"]},{"name":"cost-aware-llm-pipeline","description":"Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.","files":["SKILL.md"]},{"name":"cost-estimation","description":"Forecast Azure spend and price planned resources or workloads. WHEN: \\\"forecast Azure spending\\\", \\\"project next month cost\\\", \\\"compare forecast to my planning target\\\", \\\"how much will Azure cost\\\", \\\"estimate VM cost\\\", \\\"compare storage tiers\\\", \\\"compare Azure regions\\\", \\\"retail price\\\", \\\"EA ","files":["SKILL.md","references/cost-forecast/error-handling.md","references/cost-forecast/examples.md","references/cost-forecast/guardrails.md","references/cost-forecast/request-body-schema.md","references/cost-forecast/workflow.md","references/pricing-estimate.md","references/tool-fallback.md"]},{"name":"cost-governance","description":"Govern Azure costs with budgets, alerts, tags, and policy restrictions. WHEN: \\\"Azure budget health\\\", \\\"configured budget overrun\\\", \\\"list Azure budgets\\\", \\\"create Azure budget\\\", \\\"budget alerts\\\", \\\"budget coverage\\\", \\\"missing CostCenter tags\\\", \\\"allowed VM SKUs\\\", \\\"allowed Azure regions\\\", ","files":["SKILL.md","references/budget-health.md","references/budget-setup.md","references/guardrails.md","references/tool-fallback.md"]},{"name":"cost-management","description":"Cut your Grafana Cloud bill by attributing spend to teams and reducing telemetry volume. Covers FOCUS-compliant billing dashboards, cost-attribution labels in Alloy, Adaptive Metrics (cardinality reduction), Adaptive Logs (drop/sample), Adaptive Traces (tail sampling), usage alerts, and an optimizat","files":["SKILL.md","references/adaptive-signals.md","references/alerts-and-queries.md"]},{"name":"cost-optimization","description":"Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.","files":["SKILL.md","references/tagging-standards.md"]},{"name":"cost-tracking","description":"Track and report Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by model, session, or date.","files":["SKILL.md"]},{"name":"council","description":"Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.","files":["SKILL.md"]},{"name":"council-multi-model","description":"Add one optional external Codex critique after the existing council has produced a decision draft. Use when an ambiguous, high-consequence decision would benefit from a separate model invocation's attempt to break the synthesis. Requires explicit consent before sending the compact draft and disagree","files":["SKILL.md","scripts/review-with-codex.js"]},{"name":"countdown-api-automation","description":"Automate Countdown API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"counterparty-channel-discipline","description":"Per-channel strict prompts, mention gating, silent observation, and a communication autonomy policy for agents that sit in shared channels with external counterparties. Use when an agent joins group chats, shared channels, or DMs where outsiders can read every message and you need it to speak only w","files":["SKILL.md","references/channel-policy.example.yaml","references/strict-prompt.template.md"]},{"name":"coupa-automation","description":"Automate Coupa tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"coverage-analysis","description":"Measures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output. Covers baselining a new campaign, reading coverage reports, and turning uncovered regions into harness, seed, or dictionary work. Use when a fuzzer plateaus, when judging whethe","files":["SKILL.md","agents/openai.yaml"]},{"name":"cpp-coding-standards","description":"C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.","files":["SKILL.md"]},{"name":"cpp-pro","description":"Writes, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful memory management — or when addressing per","files":["SKILL.md","references/build-tooling.md","references/concurrency.md","references/memory-performance.md","references/modern-cpp.md","references/templates.md"]},{"name":"cpp-testing","description":"Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.","files":["SKILL.md"]},{"name":"cqrs-implementation","description":"Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.","files":["SKILL.md","references/details.md"]},{"name":"craftmypdf-automation","description":"Automate Craftmypdf tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"create-adaptable-composable","description":"Create a library-grade Vue composable that accepts maybe-reactive inputs (MaybeRef / MaybeRefOrGetter) so callers can pass a plain value, ref, or getter. Normalize inputs with toValue()/toRef() inside reactive effects (watch/watchEffect) to keep behavior predictable and reactive. Use this skill when","files":["SKILL.md"]},{"name":"create-agentsmd","description":"Prompt for generating an AGENTS.md file for a repository","files":["SKILL.md"]},{"name":"create-architectural-decision-record","description":"Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.","files":["SKILL.md"]},{"name":"create-auth","description":"Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detect frameworks, configure database adapters, set up route handlers, add OAuth providers, and create auth UI pages. Use when users want to add login, sign-up, or authentication to a new or existing project with ","files":["SKILL.md"]},{"name":"create-branch","description":"Create a git branch following Sentry naming conventions. Use when asked to \"create a branch\", \"new branch\", \"start a branch\", \"make a branch\", \"switch to a new branch\", or when starting new work on the default branch.","files":["SKILL.md"]},{"name":"create-github-action-workflow-specification","description":"Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.","files":["SKILL.md"]},{"name":"create-github-issue-feature-from-specification","description":"Create GitHub Issue for feature request from specification file using feature_request.yml template.","files":["SKILL.md"]},{"name":"create-github-issues-feature-from-implementation-plan","description":"Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.","files":["SKILL.md"]},{"name":"create-github-issues-for-unmet-specification-requirements","description":"Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.","files":["SKILL.md"]},{"name":"create-implementation-plan","description":"Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.","files":["SKILL.md"]},{"name":"create-llms","description":"Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/","files":["SKILL.md"]},{"name":"create-react-native-library","description":"Scaffolds React Native libraries with create-react-native-library for standalone libraries or local native modules and views. Use when creating or working on React Native libraries or adding native functionality in an existing app.","files":["SKILL.md","agents/openai.yaml","references/local-library.md","references/scaffold-library.md"]},{"name":"create-readme","description":"Create a README.md file for the project","files":["SKILL.md"]},{"name":"create-specification","description":"Create a new specification file for the solution, optimized for Generative AI consumption.","files":["SKILL.md"]},{"name":"create-spring-boot-java-project","description":"Create Spring Boot Java Project Skeleton","files":["SKILL.md"]},{"name":"create-spring-boot-kotlin-project","description":"Create Spring Boot Kotlin Project Skeleton","files":["SKILL.md"]},{"name":"create-technical-spike","description":"Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.","files":["SKILL.md"]},{"name":"creating-amazon-aurora-db-cluster-with-instances","description":"Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.","files":["SKILL.md","references/create-amazon-aurora-db-cluster-with-instances.md"]},{"name":"creating-api-gateway-stage","description":"Creates an API Gateway stage with CloudWatch logging, X-Ray tracing, throttling, WAF integration, and IAM roles following AWS best practices. Use when deploying a REST API to different environments such as dev, test, or production.","files":["SKILL.md","references/create-api-gateway-stage.md"]},{"name":"creating-data-lake-table","description":"Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, s","files":["SKILL.md","references/access-control.md","references/athena-ddl-path.md","references/best-practices.md","references/table-creation-glue-etl.md"]},{"name":"creating-mermaid-dbt-dag","description":"Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.","files":["SKILL.md","references/parsing-code-directly.md","references/using-get-lineage-dev.md","references/using-get-lineage.md","references/using-manifest-json.md"]},{"name":"creating-oracle-to-postgres-master-migration-plan","description":"Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracl","files":["SKILL.md"]},{"name":"creating-oracle-to-postgres-migration-bug-report","description":"Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.","files":["SKILL.md","references/BUG-REPORT-TEMPLATE.md"]},{"name":"creating-oracle-to-postgres-migration-integration-tests","description":"Creates integration test cases targeting Oracle for .NET data access artifacts. Tests capture Oracle expected behavior as the authoritative baseline; they are written once and later ported to PostgreSQL by migrating the test project in Phase 6. Use only during Phase 3, before any PostgreSQL migratio","files":["SKILL.md"]},{"name":"creating-production-vpc-multi-az","description":"Creates a production-ready VPC with public and private subnets across multiple Availability Zones, including internet gateway, NAT gateways, route tables, and security groups following AWS Well-Architected principles. Use when deploying multi-AZ VPC infrastructure with automatic CIDR planning and DN","files":["SKILL.md","references/create-production-vpc-multi-az.md"]},{"name":"creating-secrets-using-best-practices","description":"Creates and manages secrets in AWS Secrets Manager following security best practices. Always use this skill when creating secrets — it sets up dedicated KMS encryption keys, automatic rotation, least-privilege IAM policies, CloudTrail auditing, and lifecycle management that are essential for product","files":["SKILL.md","references/create-secrets-using-best-practices.md"]},{"name":"creative-thinking-for-research","description":"Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.","files":["SKILL.md"]},{"name":"crewai-multi-agent","description":"Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangC","files":["SKILL.md","references/flows.md","references/tools.md","references/troubleshooting.md"]},{"name":"crosspost","description":"Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.","files":["SKILL.md"]},{"name":"crowdin-automation","description":"Automate Crowdin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"crustdata-automation","description":"Automate Crustdata tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"crypto-protocol-diagram","description":"Extracts protocol message flow from source code, RFCs, academic papers, pseudocode, informal prose, ProVerif (.pv), or Tamarin (.spthy) models and generates Mermaid sequenceDiagrams with cryptographic annotations. Use when diagramming a crypto protocol, visualizing a handshake or key exchange flow, ","files":["SKILL.md","agents/openai.yaml","examples/simple-handshake/expected-output.md","examples/simple-handshake/protocol.py","examples/simple-proverif/expected-output.md","references/ascii-sequence-diagram.md","references/mermaid-sequence-syntax.md","references/protocol-patterns.md","references/spec-parsing-patterns.md"]},{"name":"cryptography","description":"Cryptanalysis techniques — lattice attacks, padding oracles, weak-RNG exploitation, signature forgery, secret-sharing recovery.","files":["SKILL.md","reference/INDEX.md","reference/cryptography-principles.md","reference/lattice-attacks.md","reference/linear-secret-recovery.md","reference/scenarios/classical/repeating-key-xor.md","reference/scenarios/lattice/agcd-attack.md","reference/scenarios/lattice/boneh-durfee-low-d.md","reference/scenarios/lattice/coppersmith-known-bits.md","reference/scenarios/lattice/lll-basis-reduction.md","reference/scenarios/padding-oracle/cbc-padding-oracle.md","reference/scenarios/padding-oracle/ecb-prefix-oracle.md","reference/scenarios/padding-oracle/pkcs1-v1.5-bleichenbacher.md","reference/scenarios/rsa-quirks/common-modulus.md","reference/scenarios/rsa-quirks/fermat-close-primes.md","reference/scenarios/rsa-quirks/low-public-exponent.md","reference/scenarios/rsa-quirks/small-prime-factorization.md","reference/scenarios/rsa-quirks/wiener-attack.md","reference/scenarios/secret-sharing/shamir-non-prime-modulus.md","reference/scenarios/signature-forgery/ecdsa-nonce-reuse.md","reference/scenarios/signature-forgery/gcd-transcript-operand-recovery.md","reference/scenarios/signature-forgery/jwt-alg-confusion.md","reference/scenarios/signature-forgery/rsa-pkcs1-v1.5-bleichenbacher.md","reference/scenarios/weak-rng/dual-ec-backdoor.md","reference/scenarios/weak-rng/lcg-state-recovery.md","reference/scenarios/weak-rng/mt19937-state-recovery.md"]},{"name":"csharp-async","description":"Get best practices for C# async programming","files":["SKILL.md"]},{"name":"csharp-developer","description":"Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Builds REST APIs using minimal or controller-based routing, configures database access with Entity Framework Core, implements async patterns and cancellation, structures applications with CQRS via MediatR, and sca","files":["SKILL.md","references/aspnet-core.md","references/blazor.md","references/entity-framework.md","references/modern-csharp.md","references/performance.md"]},{"name":"csharp-docs","description":"Ensure that C# types are documented with XML comments and follow best practices for documentation.","files":["SKILL.md"]},{"name":"csharp-mstest","description":"Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests","files":["SKILL.md"]},{"name":"csharp-nunit","description":"Get best practices for NUnit unit testing, including data-driven tests","files":["SKILL.md"]},{"name":"csharp-testing","description":"C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices. Use when writing or reviewing xUnit tests, mocks, or integration tests in a C# / .NET project.","files":["SKILL.md"]},{"name":"csharp-tunit","description":"Get best practices for TUnit unit testing, including data-driven tests","files":["SKILL.md"]},{"name":"csharp-xunit","description":"Get best practices for XUnit unit testing, including data-driven tests","files":["SKILL.md"]},{"name":"cso","description":"Security audit: supported static findings; qualified profiles add reproduction and repair candidates. (gstack)","files":["SKILL.md","ACKNOWLEDGEMENTS.md","sections/audit-phases.md","sections/manifest.json"]},{"name":"csrf-protection","description":"Implements CSRF protection using synchronizer tokens, double-submit cookies, and SameSite attributes. Use when securing web forms, protecting state-changing endpoints, or implementing defense-in-depth authentication.","files":["SKILL.md","references/python-react.md"]},{"name":"cucumber-skill","description":"Generates Cucumber BDD tests with Gherkin feature files and step definitions in Java, JavaScript, or Ruby. Use when user mentions \"Cucumber\", \"Gherkin\", \"Feature/Scenario\", \"Given/When/Then\", \"BDD\". Triggers on: \"Cucumber\", \"Gherkin\", \"BDD\", \"Feature file\", \"Given/When/Then\", \"step definitions\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"cudaq-guide","description":"Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.","files":["SKILL.md","BENCHMARK.md","evals/EVAL.md","evals/config.yml","evals/evals.json","references/authoring.md","references/onboarding.md","skill-card.md"]},{"name":"cudaq-importing","description":"Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/porting-reference.md","skill-card.md"]},{"name":"cue-kind-definition","description":"Author CUE kind definitions for grafana-app-sdk apps - schemas, versioning, field constraints, named type definitions, custom routes, and codegen configuration. Scaffolds kinds via `grafana-app-sdk project kind add`, writes spec/status schemas with type constraints (regex, enum, range), defines `#`-","files":["SKILL.md","references/cue-constraints.md","references/custom-routes.md","references/kind-layout.md","references/schema-types.md","references/versioning-guide.md"]},{"name":"cults-automation","description":"Automate Cults tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cuopt-install","description":"Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.","files":["SKILL.md","BENCHMARK.md","benchmark/evals.json","evals/evals.json","references/verification_examples.md","skill-card.md"]},{"name":"cuopt-multi-objective-exploration","description":"Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"cuopt-numerical-optimization-formulation","description":"LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"cuopt-routing-api-python","description":"Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.","files":["SKILL.md","BENCHMARK.md","assets/README.md","assets/pdp_basic/README.md","assets/pdp_basic/model.py","assets/vrp_basic/README.md","assets/vrp_basic/model.py","evals/evals.json","references/examples.md","references/server_examples.md","skill-card.md"]},{"name":"cuopt-server-api-python","description":"cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.","files":["SKILL.md","BENCHMARK.md","assets/README.md","assets/lp_basic/README.md","assets/lp_basic/client.py","assets/milp_basic/README.md","assets/milp_basic/client.py","assets/pdp_basic/README.md","assets/pdp_basic/client.py","assets/vrp_basic/README.md","assets/vrp_basic/client.py","assets/vrp_simple/README.md","assets/vrp_simple/client.py","evals/evals.json","skill-card.md"]},{"name":"curated-automation","description":"Automate Curated tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"currents-api-automation","description":"Automate Currents API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"customer-billing-ops","description":"Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.","files":["SKILL.md"]},{"name":"customgpt-automation","description":"Automate Customgpt tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"customize","description":"Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR:","files":["SKILL.md","EXAMPLES.md","references/customize-guides.md","references/customize-workflow.md"]},{"name":"customjs-automation","description":"Automate Customjs tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"customs-trade-compliance","description":"Codified customs and trade compliance expertise — HS/HTS tariff classification with GRI rules, commercial invoices and entry documentation, Incoterms 2020, FTA qualification and duty optimization (USMCA, RCEP, FTZs, drawback), denied-party screening, and penalty mitigation across US, EU, UK, and APA","files":["SKILL.md"]},{"name":"cutt-ly-automation","description":"Automate Cutt Ly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"cve-poc-generator","description":"CVE research, standalone PoC script and report generation. Given a CVE ID, researches NVD and advisories, generates a safe Python PoC, and writes a detailed vulnerability report.","files":["SKILL.md","reference/poc-methodology.md"]},{"name":"cve-risk-score","description":"Retrieve CVE risk scores from NVD. Auto-invoked whenever a CVE ID is mentioned to display CVSS score, severity, CWE, and description.","files":["SKILL.md","reference/nvd-api-reference.md"]},{"name":"cyber-authorization","description":"Validates cyber exercise authorization, scope, exclusions, runtime controls, expiry, stop and restart gates. Use when planning or reviewing authorized security activity, scope drift, or unsupported execution environments.","files":["SKILL.md","evals/evals.json","references/runtime-authorization-matrix.md"]},{"name":"cyber-detection-engineering","description":"Designs and reviews detections from telemetry prerequisites, correlation logic, Sigma metadata, severity, status, and benign cases. Use for detection rules, Sigma review, analytic coverage, or tuning; not generic logging advice or live deployment.","files":["SKILL.md","evals/evals.json"]},{"name":"cyber-detection-validation","description":"Validates defensive controls with paired authorized action and observation evidence, distinguishing blocked, prevented, detected, responded, and telemetry-gap outcomes. Use for purple-team validation design or offline fixture review; not unsanctioned testing or production efficacy claims.","files":["SKILL.md","evals/evals.json"]},{"name":"cyber-engagement-planning","description":"Drafts bounded cybersecurity engagement plans with objectives, scope, exclusions, roles, authorization, runtime controls, evidence, stop criteria, and restart gates. Use when preparing an exercise or assessment plan before execution.","files":["SKILL.md","evals/evals.json","references/engagement-brief.md"]},{"name":"cyber-evidence","description":"Captures redacted, provenance-aware cybersecurity observations with shared status fields, independent ground truth, and honest limitations. Use when recording exercise evidence, findings, validation results, or security-review handoffs.","files":["SKILL.md","evals/evals.json","references/evidence-record.md"]},{"name":"cyber-exercise-adjudication","description":"Adjudicates authorized exercise outcomes against independently held ground truth, redacted evidence, and explicit status boundaries. Use when comparing observations, resolving discrepancies, or preparing evidence-led security-review handoffs.","files":["SKILL.md","evals/evals.json","references/adjudication-record.md"]},{"name":"cyber-exercise-control","description":"Controls authorized cybersecurity exercises through inject scheduling, safety gates, stop and restart decisions, communications, and synthetic-data boundaries. Use when serving as exercise control or white-team coordinator, not as compliance assessor or whitehat operator.","files":["SKILL.md","evals/evals.json","references/control-log.md"]},{"name":"cyber-framework-mapping","description":"Maintains sparse, reviewable cybersecurity framework edges with versioned IDs, relation, rationale, source, and review status. Use when mapping exercise observations or procedures to NIST, ATT&CK, or another named framework.","files":["SKILL.md","evals/evals.json","references/edge-record.md"]},{"name":"cyber-incident-triage","description":"NIST SP 800-61r3-aligned incident triage that preserves evidence, separates analysis from authorization, and records status. Use for incident intake, severity assessment, containment readiness, or evidence preservation; not generic debugging or unscoped response.","files":["SKILL.md","evals/evals.json"]},{"name":"cyber-scoped-validation","description":"Validates bounded cybersecurity exercise observations against approved scope, expected behavior, runtime controls, and redacted evidence. Use when performing safe offline validation or authorized runtime checks with explicit stop and status gates.","files":["SKILL.md","evals/evals.json","references/validation-record.md"]},{"name":"cyber-threat-hunting","description":"Conducts hypothesis-driven, evidence-preserving threat hunts with bounded negative conclusions and telemetry-gap handling. Use for hunt hypotheses, scoped offline analysis, or analytic follow-up; not unscoped scanning, malware execution, or generic intelligence summaries.","files":["SKILL.md","evals/evals.json"]},{"name":"cypress-skill","description":"Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud. Use when the user asks to write Cypress tests, set up Cypress, test with cy commands, or mentions \"Cypress\", \"cy.visit\", \"cy.get\", \"cy.intercept\". Triggers on: \"Cypre","files":["SKILL.md","reference/cloud-integration.md","reference/component-testing.md","reference/custom-commands.md","reference/debugging-flaky.md","reference/playbook.md","scripts/scaffold-project.sh","templates/cypress.config.js"]},{"name":"d2lbrightspace-automation","description":"Automate D2lbrightspace tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"d365-solution-blueprint","description":"Authors a Dynamics 365 Finance and Supply Chain Management Solution Blueprint from scratch through a structured, section-by-section architect interview, establishing scope, target operating model, application and data architecture, integration landscape, migration strategy, security model, ALM, test","files":["SKILL.md","assets/blueprint-template.md","references/section-guide.md"]},{"name":"dadata-ru-automation","description":"Automate Dadata Ru tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"daffy-automation","description":"Automate Daffy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"daily-focus-board","description":"Spin up a personal, motivating daily focus board that renders in a browser canvas and that the user drives by talking to their AI partner. Tasks track status (to-do → in progress → done) with timestamped progress notes and roll up into a \"today''s momentum\" feed; numeric-goal tasks (pages, pomodoros","files":["SKILL.md","references/customize.md","references/neurodivergent-design.md","references/tutorial.md","scripts/serve-board.ps1"]},{"name":"daily-prep","description":"Prepare for tomorrow''s meetings and tasks. 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Use when creating new logic or fixing bugs to ensure code remains correct and regression-free.","files":["SKILL.md"]},{"name":"dart-best-practices","description":"Dart code quality conventions: naming, const/final/var hierarchy, single quotes, trailing commas, collection idioms, tear-offs, and import organization. Use only for Dart style-focused changes or reviews; never activate for configuration-only lint setup, unrelated feature work, or widget tests.","files":["SKILL.md","evals/evals.json"]},{"name":"dart-build-cli-app","description":"Architectural patterns, entrypoint structure, exit codes, stream routing, and subprocess spawning for Dart command-line interface (CLI) applications. Use when building CLI tools, console utilities, scripts, argument parsing with `package:args` (ArgParser or CommandRunner), handling exit codes, confi","files":["SKILL.md","references/aot_sdk_discovery.md","references/signals_and_terminal.md"]},{"name":"dart-collect-coverage","description":"Collect coverage using the coverage packge and create an LCOV report","files":["SKILL.md"]},{"name":"dart-fix-runtime-errors","description":"Uses get_runtime_errors and lsp to fetch an active stack trace, locate the failing line, apply a fix, and verify resolution via hot_reload.","files":["SKILL.md"]},{"name":"dart-flutter-patterns","description":"Production-ready Dart and Flutter patterns covering null safety, immutable state with Freezed, async composition, widget architecture, state management (BLoC, Riverpod, Provider), GoRouter navigation with auth guards, Dio networking, error handling, and testing. Use when writing or reviewing Dart an","files":["SKILL.md"]},{"name":"dart-generate-test-mocks","description":"Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that depend on complex external services like APIs or databases.","files":["SKILL.md"]},{"name":"dart-language","description":"Dart 3.x language feature standards: null safety, records, sealed classes, switch pattern matching, extensions, and async/await. Use when using !, ?., ??, late, sealed classes, record types, switch expressions, or async patterns — and before introducing any new Dart 3.x construct to confirm the mode","files":["SKILL.md","evals/evals.json"]},{"name":"dart-migrate-to-checks-package","description":"Replace the usage of `expect` and similar functions from `package:matcher`\nto `package:checks` equivalents.","files":["SKILL.md"]},{"name":"dart-resolve-package-conflicts","description":"Workflow for fixing package version conflicts. Use this when `pub get` fails due to incompatible package versions.","files":["SKILL.md"]},{"name":"dart-run-static-analysis","description":"Execute `dart analyze` to identify warnings and errors, and use `dart fix --apply` to automatically resolve mechanical lint issues. Use during development to ensure code quality and before committing changes.","files":["SKILL.md"]},{"name":"dart-tooling","description":"Dart static analysis, linting, formatting, and code-generation standards. Use only for analysis_options.yaml, build_runner, dart format, DCM, lefthook, or analyze/format CI failures; defer Dart language, null-safety, Flutter tests, and generic CI questions.","files":["SKILL.md","evals/evals.json"]},{"name":"dart-use-doc-examples","description":"How to inject external code examples into Dartdoc using the {@example} directive, and how to filter those files using #hide, #region, and #endregion tags.","files":["SKILL.md"]},{"name":"dart-use-ffigen","description":"Guide agents to use `package:ffigen` to automatically generate FFI bindings instead of writing them manually. Use this skill when a task involves writing new FFI bindings, extending C/Objective-C/Swift integrations, or replacing hand-crafted `dart:ffi` setups.","files":["SKILL.md"]},{"name":"dart-use-path-package","description":"Cross-platform file and directory path manipulation, segment splitting, extension extraction, and context conversion using `package:path` and `package:file`. Use when writing, inspecting, joining, splitting, or refactoring file paths, directory names, or extensions, or replacing raw string path oper","files":["SKILL.md"]},{"name":"dart-use-pattern-matching","description":"Applies Dart 3 pattern matching, switch expressions, and destructuring idiomatically to validate data schemas, handle algebraic data types, and decompose control flow. Use when refactoring complex if-else chains, parsing polymorphic JSON or API responses, destructuring Lists, URI/path segments, Stri","files":["SKILL.md"]},{"name":"dart-use-primary-constructors","description":"Help users write syntactically and semantically correct primary constructors in Dart, and migrate/use the new constructor syntax, empty-body semicolon syntax, in-body initializer list syntax, and abbreviated concise constructor syntax.","files":["SKILL.md"]},{"name":"dart-write-documentation","description":"Rules and formatting guidelines for writing Dart /// API documentation and doc comments. Use when documenting Dart code, writing doc comments for any Dart declaration (libraries, classes, methods, variables, etc.), or when instructed to follow the Effective Dart documentation guidelines.","files":["SKILL.md"]},{"name":"dashboard-builder","description":"Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.","files":["SKILL.md"]},{"name":"dashboarding","description":"Build, modify, and ship Grafana dashboards as JSON via the HTTP API — panel types (timeseries / stat / gauge / table / heatmap / logs / traces / node-graph), `gridPos` 24-column layout, units, thresholds, template + datasource + chained variables, transformations (`organize` / `calculateField` / `fi","files":["SKILL.md","references/json-schema.md"]},{"name":"dask","description":"Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and de","files":["SKILL.md","references/arrays.md","references/bags.md","references/best-practices.md","references/dataframes.md","references/futures.md","references/review.md","references/schedulers.md"]},{"name":"dast-scanning","description":"Perform dynamic application security testing with OWASP ZAP, Burp Suite, and Nikto. Test running applications for security vulnerabilities through automated and manual testing. Use when testing web applications, APIs, or performing penetration testing.","files":["SKILL.md","references/dast-tools.md"]},{"name":"data-breach-blast-radius","description":"Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA § 1798.155(a), and HIPAA 45 CFR § 160.404. Cost benchmarks from","files":["SKILL.md","references/SOURCES.md","references/blast-radius-calculator.md","references/data-classification.md","references/hardening-playbook.md","references/regulatory-impact.md","references/report-format.md"]},{"name":"data-designer","description":"Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/person-sampling.md","references/preview-review.md","references/seed-datasets.md","scripts/get_person_object_schema.py","skill-card.md","workflows/autopilot.md","workflows/interactive.md"]},{"name":"data-manager-api-audience-ingestion","description":"Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Custo","files":["SKILL.md","references/create-audience.md","references/formatting.md"]},{"name":"data-manager-api-event-ingestion","description":"Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Goo","files":["SKILL.md"]},{"name":"data-manager-api-setup","description":"Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for imp","files":["SKILL.md","references/dotnet.md","references/java.md","references/node.md","references/php.md","references/python.md"]},{"name":"data-quality-frameworks","description":"Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.","files":["SKILL.md","references/details.md"]},{"name":"data-scraper-agent","description":"Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Act","files":["SKILL.md"]},{"name":"data-storytelling","description":"Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.","files":["SKILL.md","references/details.md"]},{"name":"data-throughput-accelerator","description":"Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. U","files":["SKILL.md"]},{"name":"database-hana","description":"Apply SAP HANA database standards for SQL parameterization, in-memory engine optimization, dynamic IN query chunking, column aliasing on joins, and datatype casting. Use when writing SQL for SAP HANA, optimizing HANA queries, or diagnosing HANA driver errors.","files":["SKILL.md","evals/evals.json","references/hana-patterns.md","references/sql-gotchas.md"]},{"name":"database-migration","description":"Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.","files":["SKILL.md","references/details.md"]},{"name":"database-migrations","description":"Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding","files":["SKILL.md"]},{"name":"database-mongodb","description":"Apply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.","files":["SKILL.md","evals/evals.json","references/anti-patterns.md","references/best-practices.md","references/checklist.md","references/implementation.md","references/postgres-comparison.md"]},{"name":"database-observability","description":"Set up Grafana Cloud Database Observability for MySQL and PostgreSQL — enables `pg_stat_statements` / Performance Schema, creates a least-privilege monitoring user, configures the `database_observability.postgres` / `database_observability.mysql` Alloy components, ships query samples + visual explai","files":["SKILL.md","references/alloy-config.md","references/queries-alerts.md"]},{"name":"database-optimizer","description":"Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolut","files":["SKILL.md","references/index-strategies.md","references/monitoring-analysis.md","references/mysql-tuning.md","references/postgresql-tuning.md","references/query-optimization.md"]},{"name":"database-postgresql","description":"Apply PostgreSQL standards for migrations, indexing, transactions, and ORM boundaries. Use when editing entities, Prisma schema, migrations, RLS, or query-performance work for PostgreSQL.","files":["SKILL.md","evals/evals.json","references/anti-patterns.md","references/best-practices.md","references/checklist.md","references/implementation.md","references/sql-gotchas.md"]},{"name":"database-query-performance","description":"Diagnose database latency with explain plans, index ownership, and query-shape review. Use when a query is slow, an index is missing, or scans and N+1 patterns appear.","files":["SKILL.md","evals/evals.json","references/index-strategies.md"]},{"name":"database-redis","description":"Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.","files":["SKILL.md","evals/evals.json","references/best-practices.md","references/checklist.md"]},{"name":"database-schema-design","description":"Design relational or document schemas from access patterns, cardinality, and lifecycle. Use when modeling entities, choosing embed vs normalize, or shaping schema boundaries before implementation.","files":["SKILL.md","evals/evals.json","references/normalization-tradeoffs.md"]},{"name":"database-transactions","description":"Define transaction boundaries, locking, and consistency guarantees for multi-step writes. Use when designing atomic operations, retries, idempotency, or concurrent write behavior.","files":["SKILL.md","evals/evals.json","references/isolation-levels.md"]},{"name":"datadog","description":"Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.","files":["SKILL.md","references/datadog-integrations.md"]},{"name":"datagma-automation","description":"Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"datalad","description":"Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads ","files":["SKILL.md","references/data-access.md","references/provenance.md","references/publishing.md"]},{"name":"datalineage-bigquery-asset-impact-analysis","description":"Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery tab","files":["SKILL.md","references/mcp-usage.md"]},{"name":"datalineage-summary","description":"Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic Bi","files":["SKILL.md","references/mcp-usage.md"]},{"name":"datamol","description":"Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or cu","files":["SKILL.md","references/conformers_module.md","references/core_api.md","references/core_workflows.md","references/descriptors_viz.md","references/fragments_scaffolds.md","references/io_module.md","references/reactions_data.md","references/review.md","references/workflow_patterns.md"]},{"name":"datanalysis-credit-risk","description":"Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment,  missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calcula","files":["SKILL.md","references/analysis.py","references/func.py","scripts/example.py"]},{"name":"datarobot-automation","description":"Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dataset-curation","description":"Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.","files":["SKILL.md","references/formats-and-templates.md","references/synthetic-data.md"]},{"name":"dataset-evaluation","description":"Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says \"is my dataset okay\", \"evaluate my data\", \"check my training data\", \"I have my own data\", or before starting any fine-tuning job. Detects file format, checks schema compliance against","files":["SKILL.md","references/custom-scorer-evaluation-dataset-formats.md","references/strategy_data_requirements.md","scripts/format_detector.py"]},{"name":"dataset-transformation","description":"Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says \"transform\", \"convert\", \"reformat\", \"change the format\", or when a dataset's schema needs to change to match the target format — always use this skill for format changes rather than wr","files":["SKILL.md","code_templates/transformation.py","references/code_output_guide.md","references/dataset_transformation_code.md","references/sagemaker_dataset_formats.md","scripts/transformation_tools.py"]},{"name":"datasources-provisioning","description":"Generate a copy-paste Grafana data source provisioning file (YAML or Terraform) for any plugin from its standardized settings schema on the plugins CDN. Use when the user wants to provision or configure a data source as code — e.g. \"provision infinity\", \"datasource yaml for clickhouse\", \"terraform f","files":["SKILL.md"]},{"name":"dataverse-python-advanced-patterns","description":"Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.","files":["SKILL.md"]},{"name":"dataverse-python-production-code","description":"Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices","files":["SKILL.md"]},{"name":"dataverse-python-quickstart","description":"Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.","files":["SKILL.md"]},{"name":"dataverse-python-usecase-builder","description":"Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations","files":["SKILL.md"]},{"name":"dbt-sf-to-bq-translator","description":"Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migratin","files":["SKILL.md","references/dbt_migration_patterns.md","scripts/bulk_translate_via_gcloud.py","scripts/dbt_translator.py"]},{"name":"dbt-transformation-patterns","description":"Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.","files":["SKILL.md","references/details.md"]},{"name":"deadline-funnel-automation","description":"Automate Deadline Funnel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"debian-linux-triage","description":"Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.","files":["SKILL.md"]},{"name":"debug","description":"Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction","files":["SKILL.md"]},{"name":"debugging-and-error-recovery","description":"Guides systematic root-cause debugging. Use when tests fail, builds break, something that worked yesterday broke, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need to figure out what broke and why — a systematic approach to finding and fixing the root caus","files":["SKILL.md"]},{"name":"debugging-lambda-timeouts","description":"Debugs AWS Lambda function timeout failures by systematically analyzing function configuration, CloudWatch logs and metrics, VPC/networking, cold starts, memory constraints, and downstream dependencies to identify root causes with actionable fixes. Use when a Lambda function is timing out or approac","files":["SKILL.md","references/lambda-timeout-debugging.md"]},{"name":"debugging-livekit-agents","description":"Drives a live multi-turn conversation with a LiveKit agent running locally, using `lk agent debugger`. Use when the user says \"test my agent\", \"try my agent\", \"does this work\", or \"why did it call that tool\", after editing an agent to check how it behaves, or when an agent on a speech-to-speech mode","files":["SKILL.md"]},{"name":"debugging-mwaa-workflow","description":"Diagnoses and root-causes Amazon MWAA workflow failures across Provisioned (Python DAG) and Serverless (YAML workflow) environments. Provisioned uses aws mwaa invoke-rest-api, CloudWatch log groups, and get-environment; Serverless uses aws mwaa-serverless API (GetWorkflowRun, ListWorkflowRuns, GetTa","files":["SKILL.md","references/failure-catalog.md","references/provisioned-diagnostics.md","references/serverless-diagnostics.md"]},{"name":"debugging-strategies","description":"Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.","files":["SKILL.md"]},{"name":"debugging-wizard","description":"Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, t","files":["SKILL.md","references/common-patterns.md","references/debugging-tools.md","references/quick-fixes.md","references/strategies.md","references/systematic-debugging.md"]},{"name":"debugview","description":"Sysinternals DebugView CLI (DbgViewCli) for capturing and analyzing usermode and kernel-mode Windows debug output from the command line.\nUSE FOR: capturing OutputDebugString output, kernel DbgPrint/KdPrint capture, boot-time debug logging, remote debug monitoring, filtering debug output by PID or pr","files":["SKILL.md","references/driver-ioctls.md","references/output-formats.md","references/remote-protocol.md","scripts/boot-logging-workflow.ps1","scripts/capture-wrapper.ps1","scripts/detect-dbgview.ps1"]},{"name":"declarative-agents","description":"Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration","files":["SKILL.md"]},{"name":"deel-automation","description":"Automate Deel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"deep-agents-core","description":"INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.","files":["SKILL.md"]},{"name":"deep-agents-memory","description":"INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.","files":["SKILL.md"]},{"name":"deep-agents-orchestration","description":"INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.","files":["SKILL.md"]},{"name":"deep-interview","description":"Socratic deep interview with mathematical ambiguity gating before explicit execution approval","files":["SKILL.md"]},{"name":"deep-research","description":"Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, ","files":["SKILL.md"]},{"name":"deepagents-python-quickstart","description":"Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.","files":["SKILL.md"]},{"name":"deepagents-typescript-quickstart","description":"Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.","files":["SKILL.md"]},{"name":"deepchem","description":"Builds molecular property prediction and MoleculeNet workflows with DeepChem, including SMILES featurization, scaffold or grouped holdouts, masked labels, graph models and explicit pretrained encoder transfer. Used for ADMET, toxicity, solubility and chemistry ML when DeepChem data/model contracts a","files":["SKILL.md","references/api_reference.md","references/core_capabilities.md","references/review.md","references/typical_workflows.md","references/workflows.md","scripts/_common.py","scripts/graph_neural_network.py","scripts/predict_solubility.py","scripts/transfer_learning.py"]},{"name":"deepgram-automation","description":"Automate Deepgram tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"deepinit","description":"Deep codebase initialization with hierarchical AGENTS.md documentation","files":["SKILL.md"]},{"name":"deepseek-harness-setup","description":"Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when settin","files":["SKILL.md"]},{"name":"deepspot-m","description":"Generates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.","files":["SKILL.md","references/api.md","references/whole_slide.md"]},{"name":"deepstream-generate-pipeline","description":"Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image inference, detection, tracking, or streaming — including natural phrases like 'pipeline to infer on image', 'run inference on video', 'detect objects in stream', 'save inference output', 'deeps","files":["SKILL.md",".claude-plugin/plugin.json","BENCHMARK.md","evals/evals.json","references/assembly-rules.md","references/output-format.md","references/requirement-extraction.md","references/security-and-limitations.md","scripts/generate_pipeline.py","scripts/lint_data.py","scripts/validate_pipeline.py","skill-card.md","tests/__init__.py","tests/test_cli_format.py","tests/test_golden.py","tests/test_retriever.py","tests/test_validator.py"]},{"name":"deeptools","description":"NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.","files":["SKILL.md","assets/quick_reference.md","references/core_workflows.md","references/effective_genome_sizes.md","references/normalization_methods.md","references/review.md","references/tools_reference.md","references/workflows.md","scripts/validate_files.py","scripts/workflow_generator.py"]},{"name":"defense-in-depth-validation","description":"Validate at every layer data passes through to make bugs impossible. Use when invalid data causes failures deep in execution, requiring validation at multiple system layers.","files":["SKILL.md"]},{"name":"defi-amm-security","description":"Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math. Use when auditing or writing Solidity AMM, liquidity pool, or swap code.","files":["SKILL.md"]},{"name":"defi-protocol-templates","description":"Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and flash loans. Use when building decentralized finance applications or smart contract protocols.","files":["SKILL.md","references/details.md"]},{"name":"define-goal","description":"Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does n","files":["SKILL.md","LICENSE.txt","agents/openai.yaml"]},{"name":"delegate-my-work","description":"Interview employees to identify recurring daily work, office workflows, and repetitive tasks that can be automated, co-piloted, or supported by AI. Use when the user wants to find what AI can take off their plate, map available tools such as ChatGPT/OpenAI, Claude, Microsoft Copilot, Excel or PowerP","files":["SKILL.md","agents/openai.yaml","references/question-bank.md","references/spec-template.md","references/vocabulary.md"]},{"name":"delivery-gate","description":"Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits. Use when Claude should be mechanica","files":["SKILL.md","hooks/quality-gate.py"]},{"name":"demio-automation","description":"Automate Demio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"deno","description":"Use when writing, running, configuring, reviewing, or debugging code in a Deno project, or when scaffolding a new one. Covers dependency management with deno install and deno add, package.json and node_modules support, npm and JSR packages, permissions, where configuration belongs across package.jso","files":["SKILL.md","references/CLI.md"]},{"name":"deno-deploy","description":"Use when deploying Deno apps to production, asking about Deno Deploy, or working with `deno deploy` CLI commands. Covers deployment workflows, environment variables, KV database access, custom domains, the --tunnel flag for local development, and the `deno deploy` command reference.","files":["SKILL.md","references/AUTHENTICATION.md","references/DATABASES.md","references/DENO_KV.md","references/DOMAINS.md","references/FRAMEWORKS.md","references/ORGANIZATIONS.md","references/RUNTIME.md","references/TROUBLESHOOTING.md"]},{"name":"deno-frontend","description":"Use when building a web frontend with Deno — running React, Vite, Astro, SvelteKit, Next.js, Nuxt or other npm frameworks under Deno, or working with Fresh, Deno's own island-architecture framework. Covers which path to pick, Fresh 2.x routes, handlers, islands, Preact signals, Tailwind, and Fresh 1","files":["SKILL.md","references/FRESH.md","references/FRESH_MIGRATION.md"]},{"name":"deno-sandbox","description":"Use when building features that execute untrusted user code, AI-generated code, or need isolated code execution environments. Covers the @deno/sandbox SDK.","files":["SKILL.md"]},{"name":"dependabot","description":"Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, sec","files":["SKILL.md","references/dependabot-yml-reference.md","references/example-configs.md","references/pr-commands.md"]},{"name":"dependency-upgrade","description":"Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.","files":["SKILL.md"]},{"name":"deploy","description":"Deploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure. Analyzes any codebase and deploys to optimal AWS services.","files":["SKILL.md","references/cost-estimation.md","references/defaults.md","references/security.md"]},{"name":"deploy-model","description":"Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deploym","files":["SKILL.md","TEST_PROMPTS.md","capacity/SKILL.md","capacity/scripts/discover_and_rank.ps1","capacity/scripts/discover_and_rank.sh","capacity/scripts/query_capacity.ps1","capacity/scripts/query_capacity.sh","customize/EXAMPLES.md","customize/SKILL.md","customize/references/customize-guides.md","customize/references/customize-workflow.md","preset/EXAMPLES.md","preset/SKILL.md","preset/references/preset-workflow.md","preset/references/workflow.md","scripts/generate_deployment_url.ps1","scripts/generate_deployment_url.sh"]},{"name":"deploying-custom-domain-rest-api","description":"Deploys a Regional REST API with a custom domain name, a Lambda backend function, and a request-based Lambda authorizer using AWS CLI. Covers ACM certificate provisioning, API Gateway REST API creation, Lambda function deployment, request authorizer setup, custom domain configuration, base path mapp","files":["SKILL.md","scripts/authorizer.mjs","scripts/dns-record.json","scripts/example_function.mjs","scripts/lambda-trust-policy.json","scripts/validate.sh"]},{"name":"deploying-to-cloud","description":"Deploys and manages Laravel applications on Laravel Cloud using the `cloud` CLI. Use when the user wants to deploy an app, ship to Cloud, create or manage applications, environments, databases, caches, object storage, queues, domains, instances, background processes, secrets, compute, scheduled task","files":["SKILL.md","reference/checklists.md"]},{"name":"deployment-patterns","description":"Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up CI/CD, containerizing an app, or checking production readiness before a release.","files":["SKILL.md"]},{"name":"deployment-pipeline-design","description":"Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in C","files":["SKILL.md","references/advanced-strategies.md","references/details.md"]},{"name":"depmap","description":"Retrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity. Supports cancer-selective dependency, co-essentiality, and candidate synthetic-lethality analyses with release-aware iden","files":["SKILL.md","references/dependency_analysis.md","scripts/depmap_data.py"]},{"name":"deprecation-and-migration","description":"Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to","files":["SKILL.md"]},{"name":"design-md","description":"Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files","files":["SKILL.md","README.md","examples/DESIGN.md"]},{"name":"design-shotgun","description":"Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)","files":["SKILL.md","sections/doctrine.md","sections/manifest.json"]},{"name":"design-system","description":"Generate a design system from an existing codebase or audit one for visual consistency: extract tokens (colors, typography, spacing, shadows) into design-tokens.json and CSS custom properties with DESIGN.md rationale and an interactive HTML preview, score the UI across 10 dimensions, and flag AI-slo","files":["SKILL.md"]},{"name":"design-system-creation","description":"| Creates comprehensive design systems with typography, colors, components, and documentation for consistent UI development. Use when establishing design standards, building component libraries, or ensuring cross-team consistency.","files":["SKILL.md"]},{"name":"design-system-patterns","description":"Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.","files":["SKILL.md","references/component-architecture.md","references/design-tokens.md","references/details.md","references/theming-architecture.md"]},{"name":"desk-journal","description":"Write, append, or read desk journal entries. The journal is persistent memory — what survives session boundaries. A good entry has: what was done, current state, next step.","files":["SKILL.md"]},{"name":"desk-open","description":"Create and open a new desk in the workshop. Sets up the folder structure, initial journal, and desk identity so the next session that sits down finds the trail.","files":["SKILL.md"]},{"name":"desktime-automation","description":"Automate Desktime tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"detection-engineering-coverage-evaluation","description":"Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and deploying gap-closing ru","files":["SKILL.md"]},{"name":"detox-skill","description":"Generates Detox E2E tests for React Native apps in JavaScript. Gray-box testing framework with automatic synchronization. Supports local simulators/emulators and TestMu AI cloud. Use when user mentions \"Detox\", \"React Native test\", \"element(by.id())\", \"device.launchApp\". Triggers on: \"Detox\", \"React","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"detrack-automation","description":"Automate Detrack tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dev","description":"Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.","files":["SKILL.md","release.md","roll.md"]},{"name":"dev-browser","description":"Browser automation with persistent named pages via the dev-browser CLI. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, log into sites, or automate browser workflows. Trigger phrases include \"go to [url]\", \"click on\", \"fill out the form\", \"take","files":["SKILL.md"]},{"name":"dev-team","description":"Simulate a collaborative dev team session where multiple role-based personas (PM, Architect, Developer, QA) respond to the same problem together in one session. Use when designing a feature, reviewing a proposal, or onboarding a new initiative and you want multi-role perspective without switching ag","files":["SKILL.md"]},{"name":"developer-device-platform-basics","description":"Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.","files":["SKILL.md","references/cancel_session.md","references/describe_device.md","references/list_sessions.md","references/reserve_device.md","references/session_status.md","references/start_adb_forwarder.md","references/update_session_expiration.md","references/view_device.md","scripts/demo_adb_forwarder.py","scripts/requirements.txt"]},{"name":"developer-growth-analysis","description":"Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.","files":["SKILL.md"]},{"name":"developing-applications-on-managed-service-for-apache-flink","description":"MANDATORY for Flink or Amazon Managed Service for Apache Flink (MSF) questions. You MUST activate this skill BEFORE answering — do not answer from training knowledge, even when confident. MSF has service-specific constraints (KPU model, prohibited checkpoint and parallelism config in app code, the v","files":["SKILL.md","references/application-lifecycle.md","references/best-practices.md","references/cdc-connector-guide.md","references/checkpoint-tuning.md","references/dependency-management.md","references/environment-setup.md","references/first-fault-isolation.md","references/flink-2x-migration.md","references/foundation-operations.md","references/iac-and-deployment.md","references/iceberg-connector-guide.md","references/iceberg-tuning-and-operations.md","references/job-graph-anti-patterns.md","references/job-graph-architecture.md","references/kinesis-connector-guide.md","references/kinesis-efo-guide.md","references/logging-configuration.md","references/monitoring-and-metrics.md","references/msf-constraints-and-patterns.md","references/msf-overview.md","references/pricing-calculator.md","references/resource-optimization.md","references/scaling-decisions.md","references/serialization-guide.md","references/state-management.md"]},{"name":"developing-genkit-dart","description":"Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.","files":["SKILL.md","references/a2ui.md","references/agents-artifacts.md","references/agents-background.md","references/agents-branching.md","references/agents-custom.md","references/agents-deployment.md","references/agents-human-in-the-loop.md","references/agents-multi-agent.md","references/agents-sessions.md","references/agents-state.md","references/agents.md","references/dotprompt.md","references/genkit.md","references/genkit_anthropic.md","references/genkit_chrome.md","references/genkit_firebase_ai.md","references/genkit_google_genai.md","references/genkit_mcp.md","references/genkit_middleware.md","references/genkit_openai.md","references/genkit_shelf.md","references/schemantic.md"]},{"name":"developing-genkit-js","description":"Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.","files":["SKILL.md","references/a2ui.md","references/agents-artifacts.md","references/agents-background.md","references/agents-branching.md","references/agents-custom.md","references/agents-deployment.md","references/agents-human-in-the-loop.md","references/agents-multi-agent.md","references/agents-sessions.md","references/agents-state.md","references/agents.md","references/best-practices.md","references/common-errors.md","references/docs-and-cli.md","references/dotprompt.md","references/examples.md","references/middleware-custom.md","references/middleware.md","references/setup.md"]},{"name":"devops-engineer","description":"Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. 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Used for explicit requests for DHDNA, cognitive-style reflection, a thinking-pattern profile, or comparisons of textual reasoning. Scores describe evidence in the sample, not validated psycholog","files":["SKILL.md","references/advanced-profiling.md"]},{"name":"diagnose","description":"Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.","files":["SKILL.md"]},{"name":"diagnose-chromatic-baselines","description":"Diagnose Chromatic visual-test baseline ancestry with customer-owned evidence. Use when an accepted change reappears, a PR acceptance seems not to carry to the target branch, a build uses an unexpected baseline, or rebuilds and branches disagree. Work from Chromatic build links, test or story IDs, C","files":["SKILL.md","agents/openai.yaml","evaluations/README.md","evaluations/empty-parent-list.json","evaluations/expected-parent-present.json","evaluations/same-commit-rebuild.json","evaluations/unknown-lookup-limit.json","examples/customer-baseline-handoff.md","reference/baseline-model.md","reference/collect-evidence.md","reference/support-handoff.md","scripts/analyze_chromatic_log.py","template.md"]},{"name":"diagnosing-bugs","description":"Diagnosis loop for hard bugs and performance regressions. Use when the user says \"diagnose\"/\"debug this\", or reports something broken/throwing/failing/slow.","files":["SKILL.md","agents/openai.yaml","scripts/hitl-loop.template.sh"]},{"name":"diagnosing-superpowers","description":"Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, \"it took too long\", \"why is it so expensive\", \"what is it doing\" — or wants to build a bug report for the superpowers maintainers, for ","files":["SKILL.md","prompts/analyst-common.md","prompts/cost-and-time.md","prompts/plan-adherence.md","prompts/quality-evidence.md","prompts/repeated-work.md","prompts/request-conflicts.md","prompts/scrub-audit.md","prompts/scrub.md","prompts/similar-session.md","prompts/skill-timeline.md","prompts/stumbles.md","references/context-safety.md","references/github-issues.md","references/redaction-policy.md","references/session-discovery.md","templates/bundle-README.md","templates/case.md","templates/issue.md","templates/report.md"]},{"name":"diagram","description":"Use the smallest visual when prose must carry structure—control flow, call depth, module ownership, or change shape: pseudocode, call tree, component/file tree, Mermaid diagram, or diff. Skip it when prose already answers the question.","files":["SKILL.md"]},{"name":"diagramming-code","description":"Generates Mermaid diagrams from Trailmark code graphs. Produces call graphs, class hierarchies, module dependency maps, containment diagrams, complexity heatmaps, and attack surface data flow visualizations. Use when visualizing code architecture, drawing call graphs, generating class diagrams, crea","files":["SKILL.md","agents/openai.yaml","references/diagram-types.md","references/mermaid-syntax.md","scripts/diagram.py"]},{"name":"dialmycalls-automation","description":"Automate Dialmycalls tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dialpad-automation","description":"Automate Dialpad tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dicom-metadata-extract","description":"Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.","files":["SKILL.md","AGENTS.md","BENCHMARK.md","evals/baseline.yaml","evals/evals.json","fixtures/generate_sample.py","scripts/extract_metadata.py","skill-card.md","skill_manifest.yaml","tests/test_basic.py","validators/output_schema.json"]},{"name":"dicom-series-preflight","description":"Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/generate_fixtures.py","scripts/preflight_series.py","skill-card.md","skill_manifest.yaml","tests/test_preflight_series.py","validators/output_schema.json"]},{"name":"dicom-series-to-volume","description":"Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/generate_fixtures.py","scripts/series_to_volume.py","skill-card.md","skill_manifest.yaml","tests/test_orientation_regression.py","validators/output_schema.json"]},{"name":"dictionary-api-automation","description":"Automate Dictionary API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"diffbot-automation","description":"Automate Diffbot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"diffdock","description":"Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triage, confidence interpretation, and validation. Use for molecular docking and virtual-screening pose generation, not binding-affinity prediction.","files":["SKILL.md","assets/custom_inference_config.yaml","references/confidence_and_limitations.md","references/parameters_reference.md","references/workflows_examples.md","scripts/analyze_results.py","scripts/prepare_batch_csv.py","scripts/setup_check.py"]},{"name":"differential-review","description":"Performs security-focused differential review of code changes. Adapts analysis depth to codebase size, uses git blame for context, calculates blast radius by counting callers, checks test coverage of modified code, and generates a markdown report. Use when reviewing a PR, commit, or diff for securit","files":["SKILL.md","adversarial.md","agents/openai.yaml","methodology.md","patterns.md","reporting.md"]},{"name":"digicert-automation","description":"Automate Digicert tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"digital-health-clinical-asr-eval","description":"Stage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr).","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/offline-asr-recipe.md","references/scoring-recipes.md","skill-card.md"]},{"name":"digital-health-clinical-asr-setup","description":"Stage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/dependency-ownership.md","skill-card.md"]},{"name":"digital-ocean-automation","description":"Automate DigitalOcean tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dimensional-analysis","description":"Annotates codebases with dimensional analysis comments documenting units, dimensions, and decimal scaling. Use when someone asks to annotate units in a codebase, perform a dimensional analysis, or find vulnerabilities in a DeFi protocol, offchain code, or other blockchain-related codebase with arith","files":["SKILL.md","agents/openai.yaml","references/annotate.md","references/bug-patterns.md","references/common-dimensions.md","references/dimension-algebra.md"]},{"name":"directconnect","description":"Configures AWS Direct Connect: choosing a connection model (dedicated, hosted, or a link aggregation group) and completing the cross connect; creating private, public, and transit virtual interfaces and bringing up BGP; reaching many VPCs through a Direct Connect gateway including cross-account tran","files":["SKILL.md","references/choosing-a-direct-connect-connection-type.md","references/connecting-many-vpcs-through-a-direct-connect-gateway.md","references/creating-a-direct-connect-virtual-interface-and-configuring-bgp.md","references/encrypting-traffic-over-direct-connect.md","references/making-a-direct-connect-connection-resilient.md","references/managing-direct-connect-link-aggregation-groups.md","references/migrating-direct-connect-from-a-virtual-private-gateway-to-a-transit-gateway.md","references/setting-up-direct-connect-sitelink.md"]},{"name":"directory-management","description":"Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/, manifests/, agent_memory/) and resolves project","files":["SKILL.md"]},{"name":"disaster-recovery","description":"Implement disaster recovery strategies and runbooks. Configure RPO/RTO targets and failover procedures. Use when planning for business continuity.","files":["SKILL.md"]},{"name":"discernment-nudge","description":"After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke t","files":["SKILL.md","LICENSE.txt"]},{"name":"discordbot-automation","description":"Automate Discordbot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"discover-azure-skills","description":"Searches the Azure skills catalog and recommends installable agent skills by matching an Azure task to skill metadata and plugin installation guidance. WHEN: before starting any task that involves an Azure or Microsoft-cloud service, product, or data source, when no currently loaded skill or tool al","files":["SKILL.md","references/install/claude-code.md","references/install/copilot-cli.md","references/install/other.md"]},{"name":"dispatching-parallel-agents","description":"Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies","files":["SKILL.md"]},{"name":"distributed-llm-pretraining-torchtitan","description":"Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.","files":["SKILL.md","references/checkpoint.md","references/custom-models.md","references/float8.md","references/fsdp.md"]},{"name":"distributed-tracing","description":"Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.","files":["SKILL.md","references/details.md"]},{"name":"django-access-review","description":"Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: \"IDOR\", \"access control\", \"authorization\", \"Django permissions\", \"object permissions\", \"tenant isolation\", \"broken acce","files":["SKILL.md","references/django-orm.md","references/django-views.md","references/drf-permissions.md","references/tenant-isolation.md"]},{"name":"django-celery","description":"Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.","files":["SKILL.md"]},{"name":"django-expert","description":"Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers an","files":["SKILL.md","references/authentication.md","references/drf-serializers.md","references/models-orm.md","references/testing-django.md","references/viewsets-views.md"]},{"name":"django-patterns","description":"Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when building or reviewing Django apps, DRF APIs, ORM queries, or caching.","files":["SKILL.md"]},{"name":"django-perf-review","description":"Django performance code review. Use when asked to \"review Django performance\", \"find N+1 queries\", \"optimize Django\", \"check queryset performance\", \"database performance\", \"Django ORM issues\", or audit Django code for performance problems.","files":["SKILL.md"]},{"name":"django-security","description":"Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations. Use when reviewing Django authentication, authorization, input handling, or deployment settings.","files":["SKILL.md"]},{"name":"django-storages-s3","description":"Use when configuring Django to store static and media files on AWS S3 with django-storages. Invoke when working with the STORAGES setting, S3 buckets, presigned URLs, CloudFront, or boto3-backed file storage in settings.py. Configures the Django 4.2+ STORAGES dict, public/private custom backends, pr","files":["SKILL.md","references/configuration.md","references/custom-backends.md","references/presigned-urls.md","references/testing-storages.md"]},{"name":"django-tdd","description":"Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.","files":["SKILL.md"]},{"name":"django-verification","description":"Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Djang","files":["SKILL.md"]},{"name":"dms-schema-conversion","description":"Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine, running compatibility assessments, navigating metadata trees, exporting converted DDL to S3, applying schema changes to a target database, and converting SQL statem","files":["SKILL.md","references/action-items.md","references/cancel-operations.md","references/schema-conversion-operations.md","references/setup-wizard.md","references/troubleshooting.md"]},{"name":"dmux-workflows","description":"Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.","files":["SKILL.md"]},{"name":"dnanexus-integration","description":"Builds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.","files":["SKILL.md","references/app-development.md","references/authentication.md","references/configuration.md","references/data-operations.md","references/job-execution.md","references/operations-and-troubleshooting.md","references/python-sdk.md","references/sources.md","references/workflow-languages.md","scripts/inspect_dxpy.py","scripts/validate_dxapp.py"]},{"name":"dns-management","description":"Configure DNS zones and records. Manage Route53, Cloud DNS, and self-hosted DNS. Use when setting up DNS infrastructure.","files":["SKILL.md"]},{"name":"dnsfilter-automation","description":"Automate Dnsfilter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"doc-and-modernize","description":"Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, document, research, or onboard onto a codebas","files":["SKILL.md","references/copilot-instructions.template.md","references/migration-hazards.md"]},{"name":"doc-coauthoring","description":"Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc","files":["SKILL.md"]},{"name":"doca-aes-gcm","description":"Use this skill when the user is doing hands-on DOCA AES-GCM work on a BlueField DPU or ConnectX NIC — configuring `doca_aes_gcm_task_encrypt` / `_task_decrypt`, querying `doca_aes_gcm_cap_*` for per-key-type (only `DOCA_AES_GCM_KEY_128` / `_256` — AES-192 not supported) and per-task support, sizing ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-argp","description":"Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring `doca_argp_init` → register params → `doca_argp_start` → `doca_argp_destroy` in order; picking a parameter type from the full public enum (`DOCA_ARGP_TYPE_STRIN","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-argus","description":"Use this skill when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for suspicious activity, integrity violations, and operational anomalies, and forwards findings to a SIEM (Splunk / ELK ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-bare-metal-deployment","description":"Use this skill for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe, or BlueField Arm bare-metal). No containe","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","references/details.md","skill-card.md"]},{"name":"doca-bench","description":"Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/versi","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-bench-extension","description":"Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-bf3-deployment","description":"Use this skill for BlueField-3 (BF3) day-1 platform bring-up via the classic RShim/BFB path: pushing a BlueField bundle (BFB) to the DPU over RShim with bfb-install from the host, the host-to-DPU TMFIFO management channel (tmfifo_net0, the 192.168.100.x convention), RShim daemon state and console-ov","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","references/details.md","skill-card.md"]},{"name":"doca-bf4-deployment","description":"WARNING: guides potentially IRREVERSIBLE BlueField-4 hardware operations (PLDM firmware burns, ISO reflashes, power cycles, BMC factory resets) that can brick firmware, corrupt boot media, or cause outages — a maintenance window and rollback plan are required, and every mutating step is governed by ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","references/details.md","skill-card.md"]},{"name":"doca-caps","description":"Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA libraries are available on the current OS, checking per-device per-library capabilities, scoping outpu","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-collectx-deployment","description":"Use this skill to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon, and shaping its exporters (Prometheus pull, Fluent Bit push, NetFlow, file / IPC) so the metrics actually leave","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","references/details.md","skill-card.md"]},{"name":"doca-comm-channel-admin","description":"Use this skill to enumerate host↔DPU DOCA comch (formerly Comm Channel) servers and connections via the shipped doca_comm_channel_admin binary — listing comch-capable devices and decoding the per-device server / connection table (server name, PID, in-use / max, PCIe address). The shipped binary is a","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-common","description":"Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wi","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-compress","description":"Use this skill for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or decompress-lz4-block tasks on a doca_compress context (the hardware supports DEFLATE both directions plus LZ4 decompres","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-container-deployment","description":"Use this skill when the user is hands-on deploying an in-bundle DOCA service container (Argus, DMS, Firefly, or UROM service) on a BlueField — kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness, smoke-before-bulk,","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","references/details.md","skill-card.md"]},{"name":"doca-debug","description":"Use this skill when the user is debugging any DOCA symptom — a build that won't compile, a link step that can't resolve a doca_* symbol, a runtime call returning DOCA_ERROR_*, a silent service or tool, or a stack trace / valgrind / core dump — and needs the layered ladder (install → version → build ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-dma","description":"Use this skill when the user is doing hands-on DOCA DMA programming — bringing up a doca_dma context, configuring the single doca_dma_task_memcpy task type, sizing buffers via the doca_dma_cap_task_memcpy_* queries, setting LOCAL_READ_ONLY / LOCAL_READ_WRITE permissions on source / destination doca_","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-dms","description":"Operate NVIDIA DOCA Management Service (`dmsd` + `dmspe`) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and authentication, configure `-allowed_users` and `dmsgroup`, use gNMI Get/Set/Subscribe, run supported gNOI workflows, and debug frontend/backend failures. Trigger even with","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-dpa","description":"Use this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_dpa_completion`, runnin","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-dpa-hl-tracer","description":"Use this skill when the user runs doca_dpa_hl_tracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR submission, completion drain) — picking TRACE vs CRIT, tuning the JSON config (file-size limits + file_size_limit_poli","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-erasure-coding","description":"Use this skill when the user is doing hands-on DOCA Erasure Coding programming on a BlueField DPU, ConnectX NIC, or host — bringing up a doca_ec context, picking among the create / recover / update tasks, choosing matrix type / N / K / block size, querying doca_ec_cap_* before sizing, setting doca_m","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-firefly","description":"Use this skill when the user is operating the DOCA Firefly Service container on BlueField — picking the four PTP configuration axes (role / profile / domain / interface), wiring the BlueField PHC + host follower + consumer workload pairing, deciding whether PTP-grade time is even needed (vs. chrony ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-flow-dpa-perf","description":"Use this skill when the user is invoking doca_flow_dpa_perf on DPA-capable hardware (ConnectX-7 minimum supported, ConnectX-8 recommended, or BlueField-3) to measure rule update / disable rates on the DPA-offloaded DOCA Flow path — picking the active / passive device split, choosing workload-shape a","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-flow-dpa-provider","description":"Use this skill when the user is doing hands-on DOCA Flow DPA Provider work — exporting a `doca-flow` pipe or external resource (index-selector/memory) into BlueField DPA address space so a DPACC-built kernel can read counters, mutate hash-pipe entries, and update/read memory or index-selector resour","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-flow-grpc-server","description":"PLAINTEXT-ONLY: the shipped `doca_flow_grpc` server uses `grpc::InsecureServerCredentials()` with NO TLS / mTLS / token-auth knob on the binary — transport security must come from external infrastructure (e.g. an mTLS proxy / sidecar) on a trusted segment. Use this skill when bringing up, configurin","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-flow-perf","description":"Use this skill when the user is measuring the host or DPU-CPU control-plane rate of a DOCA Flow pipeline with doca_flow_perf — picking a JSON policy from configs/, choosing the DPDK or DOCA backend, running the single-iteration smoke then the iterative eval loop, interpreting per-iteration CPU cycle","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-flow-tune","description":"Use this skill when the user is tuning a live or captured `doca-flow` pipeline with `doca_flow_tune` — snapshotting pipe / counter / KPI state, picking a tuning axis (rule placement, resource hints / table sizing, HW-offload mode) and a matching measurement (rule-install rate, lookup latency, hardwa","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-gpi","description":"Use this skill for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation. Covers picking GPI vs doca-gpunetio, the doca_gpi / domain / channel object model, the GPU-side handle handoff (doca_gpu_g","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-gpunetio-ib-write-bw","description":"Use this skill when the user is building, running, or interpreting the doca/tools/gpunetio_ib_write_bw client+server benchmark — a CUDA kernel on the client posts RDMA WRITE work requests through the doca-gpunetio device-side surface to measure sustained GPU-driven WRITE bandwidth on a GPU+IB-device","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-gpunetio-ib-write-lat","description":"Use this skill when the user is measuring GPU-kernel-initiated RDMA WRITE latency through doca-gpunetio — building and running the `gpunetio_ib_write_lat` client + server pair under `doca/tools/gpunetio_ib_write_lat/`, checking GPU-NIC pairing, reading the half-iter / full-iter / CUDA-side usec colu","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-mgmt","description":"Use this skill when the user is doing hands-on DOCA Management programming against BlueField / ConnectX devices — standing up a management or representor context (doca_mgmt_dev_ctx / doca_mgmt_dev_rep_ctx), querying device caps (data-direct, caps-general), toggling congestion-control global status, ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-pcc-ztr-rttcc-algo","description":"Use this skill when the user is doing hands-on deployment, tuning, or evaluation of the DOCA-shipped Zero-Touch RoCE RTT-based Congestion Control (ZTR RTTCC) reference algorithm on a BlueField-3 DPA — wiring `doca_pcc_dev_ztr_rttcc_algo` into the shipped DOCA PCC sample, picking a variant (vanilla /","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-programming-guide","description":"Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming question — picking a shipped sample to copy and modify, wiring the canonical pkg-config doca-{library} + meson build (or FFI from Rust / Go / Python against the public C ABI), walking the cfg-create","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-public-knowledge-map","description":"Use this skill when the user needs to locate authoritative information about NVIDIA DOCA without access to the source tree — finding the right docs.nvidia.com page for a library/service/tool, identifying which DOCA libraries are installed and at what version, locating a sample on disk or its public ","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/map.md","skill-card.md"]},{"name":"doca-rdma","description":"Use this skill when the user is doing hands-on DOCA RDMA programming on a BlueField DPU, ConnectX NIC, or DOCA host — bringing up an RDMA context on a doca_dev, picking a connection method (RDMA CM, bridge/OOB, or gRPC exchange of doca_rdma_export()), enabling one of the eleven task types (Send/Rece","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-rdmi","description":"Use this skill when the user is doing hands-on DOCA RDMI (RDMA Initiator) programming — picking doca-rdmi vs doca-rdma for an accelerator-initiated one-sided RDMA flow, standing up a doca_rdmi_connection or doca_rdmi_poster, attaching a doca_dpa_completion or doca_verbs_cq before doca_ctx_start(), r","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-sha","description":"Use this skill when the user is doing hands-on DOCA SHA programming — offloading SHA-1, SHA-256, or SHA-512 hashing onto a BlueField DPU or ConnectX accelerator, picking between one-shot `doca_sha_task_hash` and incremental `doca_sha_task_partial_hash`, querying `doca_sha_cap_*` for algorithm suppor","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-spcx-cc","description":"Use this skill when the user is invoking `doca_spcx_cc` (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the ","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-structured-tools-contract","description":"Use this skill whenever another DOCA skill says \"prefer the structured tool per doca-structured-tools-contract\", or when the user wants a one-shot answer that consolidates info multiple manual commands would produce — DOCA env / version / devices / capabilities / validate / host vs DPU state. Trigge","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/examples.md","skill-card.md"]},{"name":"doca-telemetry-utils","description":"Use this skill when the user is invoking `doca_telemetry_utils` on a host with DOCA installed — discovering the diagnostic-counter schema, translating counter names to binary Data IDs, validating per-device counter support before committing a DOCA Telemetry exporter config, or reverse-resolving a ca","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-upgrade","description":"Use this skill when the user is contemplating a DOCA upgrade or downgrade — moving a host to a newer DOCA release, refreshing the BlueField BFB, bumping the NGC DOCA container tag, or rolling back. The discipline is detect → report → ASK → only-then guided upgrade: detect what is installed, discover","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-urom-svc","description":"Operate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX component, size queues, configure Comch pairing, and align host and service versions. SECURITY: the","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-verbs","description":"Use this skill when the user is dropping below the higher-level DOCA libraries (doca-rdma / doca-eth / doca-rmax) into the raw-verbs escape hatch — managing QP / CQ / PD / MR / SRQ / AH / CC-group / Ethernet-SQ-RQ primitives inside DOCA Core, porting libibverbs code into the DOCA Core model, capabil","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","SKILLCARD.yaml","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"doca-version","description":"Use this skill when the user is doing DOCA version handling — detecting the installed release, validating the four-way match across pkg-config doca-common, applications/VERSION, doca_caps --version, and bfver/mlnx-release on BlueField, reasoning about NGC container tags, looking up whether a capabil","files":["SKILL.md","BENCHMARK.md","CAPABILITIES.md","TASKS.md","evals/evals.json","skill-card.md"]},{"name":"dock-certs-automation","description":"Automate Dock Certs tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docker-agent-config","description":"Use this skill when creating or editing an agent.yaml (or .yml/.hcl) configuration file for Docker Agent (cagent), including defining agents, models/providers, built-in or MCP toolsets, multi-agent teams with sub_agents. Even if the user just says they want to \"build an AI agent with Docker\", \"make ","files":["SKILL.md","agents/openai.yaml","assets/team-agent.yaml","checks/verification.md","references/sources.md","references/toolsets-and-providers.md","skill.yaml"]},{"name":"docker-agent-deploy","description":"Use this skill when exposing a Docker Agent as a server (MCP, HTTP API, A2A, ACP, or OpenAI-compatible chat), distributing an agent via an OCI registry with `docker agent share`, or measuring agent quality with `docker agent eval`. Even if the user just says they want to \"turn my agent into an MCP s","files":["SKILL.md","agents/openai.yaml","assets/eval-session-example.json","checks/verification.md","references/eval-format.md","references/sources.md","skill.yaml"]},{"name":"docker-build-strategies","description":"Use this skill when writing, reviewing, or optimizing Dockerfiles, even if the user just says their image is too large, their build is slow, or they need to harden a container for production. Covers multi-stage builds, layer caching, .dockerignore, non-root users, and image size optimization.","files":["SKILL.md","agents/openai.yaml","assets/Dockerfile.go","checks/verification.md","references/layer-caching.md","references/multi-stage-builds.md","scripts/verify-build.sh","skill.yaml"]},{"name":"docker-compose","description":"Define and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments. Use when setting up multi-service applications or development environments.","files":["SKILL.md","references/compose-patterns.md"]},{"name":"docker-compose-patterns","description":"Use this skill when creating, modifying, or debugging Docker Compose configurations, even if the user just says they need to wire services together, add a database to their stack, or set up a local development environment with multiple containers. Covers service definitions, health checks, dependenc","files":["SKILL.md","agents/openai.yaml","assets/bad-vs-good.md","assets/compose-dev-override.yaml","assets/compose-web-app.yaml","checks/verification.md","references/service-dependencies.md","references/volumes-and-networks.md","scripts/verify-compose.sh","skill.yaml"]},{"name":"docker-destructive-guardrails","description":"Use this skill before running, or recommending, any Docker command that deletes, wipes, resets, or otherwise irreversibly changes state — even if the user just says to \"clean up\", \"clear the cache\", \"start fresh\", \"wipe everything\", \"nuke it\", \"reset\", \"force remove\", or \"tear down\" Docker resources","files":["SKILL.md","agents/openai.yaml","checks/verification.md","references/cross-skill-destructive-command-index.md","references/docker-cli-destructive-commands.md","skill.yaml"]},{"name":"docker-management","description":"Build, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues. Use when working with Docker, containerization, or container troubleshooting.","files":["SKILL.md","references/docker-commands.md"]},{"name":"docker-patterns","description":"Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate n","files":["SKILL.md"]},{"name":"docker-sandboxes-env","description":"Use this skill when authoring, planning, or running a declarative `sbxenv.yaml` file for Docker Sandboxes (`sbx env create/run/plan/exec/rm`), even if the user just says they want to \"check in a sandbox config\", \"make onboarding reproducible for a sandbox\", \"run a setup script before the agent start","files":["SKILL.md","agents/openai.yaml","assets/sbxenv.yaml","checks/verification.md","references/env-schema-fields.md","references/sources.md","skill.yaml"]},{"name":"docker-sandboxes-kits","description":"Use this skill when authoring, validating, packaging, signing, or composing a Docker Sandboxes kit `spec.yaml` (`sbx kit add/inspect/pack/pull/push/sign/validate/verify`), even if the user just says they want to \"add a tool to a sandbox agent\", \"build a reusable sandbox extension\", \"publish a kit to","files":["SKILL.md","agents/openai.yaml","assets/spec-mixin.yaml","assets/spec-sandbox.yaml","checks/verification.md","references/kit-distribution-commands.md","references/sources.md","references/spec-v2-fields.md","skill.yaml"]},{"name":"docker-sandboxes-lifecycle","description":"Use this skill when creating, running, reattaching to, listing, stopping, or removing Docker Sandboxes (the standalone `sbx` CLI that runs AI coding agents in isolated microVMs), even if the user just says they want to \"run claude in a sandbox\", \"isolate an agent from my repo\", \"give an agent its ow","files":["SKILL.md","agents/openai.yaml","checks/verification.md","references/sources.md","skill.yaml"]},{"name":"docmosis-automation","description":"Automate Docmosis tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docnify-automation","description":"Automate Docnify tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docs-governance","description":"Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references. Use when a user asks for documentation governance, project-knowledge organization, documentation integrity, or a determi","files":["SKILL.md","references/artifact-role-contract.md","scripts/audit-docs.py","scripts/markdown_links.py"]},{"name":"docsbot-ai-automation","description":"Automate Docsbot AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docsumo-automation","description":"Automate Docsumo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docugenerate-automation","description":"Automate Docugenerate tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"documenso-automation","description":"Automate Documenso tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"document-api-endpoint","description":"Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec. Use when asked to \"document an endpoint\", \"add OpenAPI docs","files":["SKILL.md"]},{"name":"document-generate","description":"Generate missing documentation from scratch for a feature, module, or entire project. (gstack)","files":["SKILL.md"]},{"name":"document-service","description":"This skill should be used when the user asks to \\\"analyze this codebase\\\", \\\"document this service\\\", \\\"generate technical docs\\\", \\\"I inherited this code\\\", \\\"help me understand this system\\\", \\\"create docs for this project\\\", \\\"what does this system look like\\\", \\\"onboard me to this codebase\\\", \\\"","files":["SKILL.md","references/business-context.md","references/citation-format.md","references/discovery-patterns.md","references/error-scenarios.md","references/exclusion-patterns.md","references/framework-patterns.md","references/recursive-analysis.md","references/technical-doc-template.md"]},{"name":"documentation","description":"Creates, structures, and reviews technical documentation following the Diátaxis framework (tutorials, how-to guides, reference, and explanation pages). Use when a user needs to write or reorganize docs, structure a tutorial vs. a how-to guide, build reference docs or API documentation, create explan","files":["SKILL.md","tile.json"]},{"name":"documentation-and-adrs","description":"Records decisions and documentation. Use when you need to document an architecture decision (ADR) or the reasoning behind a design choice, when changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.","files":["SKILL.md"]},{"name":"documentation-lookup","description":"Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).","files":["SKILL.md"]},{"name":"documentation-writer","description":"Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.","files":["SKILL.md"]},{"name":"documint-automation","description":"Automate Documint tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docupilot-automation","description":"Automate Docupilot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docupost-automation","description":"Automate Docupost tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docuseal-automation","description":"Automate Docuseal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"docx","description":"Creates, reads, edits, and manipulates Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or lette","files":["SKILL.md","LICENSE.txt","scripts/__init__.py","scripts/accept_changes.py","scripts/comment.py","scripts/merge_runs.py","scripts/office/helpers/__init__.py","scripts/office/helpers/pptx_chart.py","scripts/office/helpers/pptx_slide.py","scripts/office/helpers/pptx_theme.py","scripts/office/soffice.py","scripts/office/validate.py","scripts/office/validators/__init__.py","scripts/office/validators/base.py","scripts/office/validators/docx.py","scripts/office/validators/pptx.py","scripts/office/validators/redlining.py"]},{"name":"dogfood","description":"Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to \"dogfood\", \"QA\", \"exploratory test\", \"find issues\", \"bug hunt\", or \"test this app\" on mobile. Produces a structured report with reproducible evidence: screensh","files":["SKILL.md","references/issue-taxonomy.md","templates/dogfood-report-template.md"]},{"name":"domain-modeling","description":"Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.","files":["SKILL.md","ADR-FORMAT.md","GLOSSARY-FORMAT.md","agents/openai.yaml"]},{"name":"domain-name-brainstormer","description":"Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.","files":["SKILL.md"]},{"name":"doppler-marketing-automation-automation","description":"Automate Doppler Marketing Automation tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"doppler-secretops-automation","description":"Automate Doppler Secretops tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dotnet-backend-patterns","description":"Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing ","files":["SKILL.md","references/dapper-patterns.md","references/ef-core-best-practices.md"]},{"name":"dotnet-best-practices","description":"Ensure .NET/C# code meets best practices for the solution/project.","files":["SKILL.md"]},{"name":"dotnet-core-expert","description":"Use when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.","files":["SKILL.md","references/authentication.md","references/clean-architecture.md","references/cloud-native.md","references/entity-framework.md","references/minimal-apis.md"]},{"name":"dotnet-design-pattern-review","description":"Review the C#/.NET code for design pattern implementation and suggest improvements.","files":["SKILL.md"]},{"name":"dotnet-mcp-builder","description":"Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wrong without guidance — stale versions (0.x preview or 1.x-era defaults), the v2 stateless-by-default HTTP flip, the 2026-07-28 spec deprecations (roots","files":["SKILL.md","references/client.md","references/elicitation.md","references/mcp-apps.md","references/packages.md","references/prompt-primitive.md","references/resource-primitive.md","references/roots.md","references/sampling.md","references/server-features.md","references/testing.md","references/tool-primitive.md","references/transport-http.md","references/transport-stdio.md"]},{"name":"dotnet-patterns","description":"Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications. Use when writing or reviewing C# / .NET code — DI, async, or general conventions.","files":["SKILL.md"]},{"name":"dotnet-timezone","description":".NET timezone handling guidance for C# applications. Use when working with TimeZoneInfo, DateTimeOffset, NodaTime, UTC conversion, daylight saving time, scheduling across timezones, cross-platform Windows/IANA timezone IDs, or when a .NET user needs the timezone for a city, address, region, or count","files":["SKILL.md","references/code-patterns.md","references/timezone-index.md"]},{"name":"dotnet-upgrade","description":"Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution","files":["SKILL.md"]},{"name":"dotsimple-automation","description":"Automate Dotsimple tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"doublecheck","description":"Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.","files":["SKILL.md","assets/verification-report-template.md"]},{"name":"dovetail-automation","description":"Automate Dovetail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dpd2-automation","description":"Automate Dpd2 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dpm-finder","description":"Find the Prometheus metrics that drive your Grafana Cloud bill. `dpm-finder` is a Grafana Professional Services CLI that ranks metrics by Data Points per Minute (DPM) with per-label-set breakdown, optional `--cost-per-1000-series` pricing, and a Prometheus-exporter mode. Use when investigating high ","files":["SKILL.md","references/cli.md"]},{"name":"dpop-adoption","description":"Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and","files":["SKILL.md"]},{"name":"draftable-automation","description":"Automate Draftable tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"draw-io-diagram-generator","description":"Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode","files":["SKILL.md","references/drawio-xml-schema.md","references/shape-libraries.md","references/style-reference.md","scripts/README.md","scripts/add-shape.py","scripts/validate-drawio.py"]},{"name":"dreamstudio-automation","description":"Automate Dreamstudio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"drip-jobs-automation","description":"Automate Drip Jobs tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dripcel-automation","description":"Automate Dripcel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dromo-automation","description":"Automate Dromo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dropbox-sign-automation","description":"Automate Dropbox Sign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"dropcontact-automation","description":"Automate Dropcontact tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"drug-discovery-pipeline","description":"NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules wit","files":["SKILL.md","BENCHMARK.md","evals/config.yml","evals/evals.json","skill-card.md"]},{"name":"drydock","description":"Lay the keel of the shipyard harness in any repo — the 4-pillar shared environment (Context, Rules, Tools, Standards) across 5 surfaces (CLAUDE.md, skills, design-system, mcp/cli, shared context) so that every human and agent inherits the same design language and anyone can ship. Run once per repo; ","files":["SKILL.md"]},{"name":"dspy","description":"Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming","files":["SKILL.md","references/examples.md","references/modules.md","references/optimizers.md"]},{"name":"dungeon-fighter-online-automation","description":"Automate Dungeon Fighter Online tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"durable-objects","description":"Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.","files":["SKILL.md","references/rules.md","references/testing.md","references/workers.md"]},{"name":"dwarf-expert","description":"Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdw","files":["SKILL.md","agents/openai.yaml"]},{"name":"dynamic-workflow-mode","description":"Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses. Use when building a task-local harness, adding eval gates, or extracting a reusable skill from ad-hoc work.","files":["SKILL.md"]},{"name":"dynamo-interconnect-check","description":"Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/interconnect-env-vars.md","scripts/check_interconnect.py","skill-card.md"]},{"name":"dynamo-recipe-runner","description":"Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/k8s-recipe-workflow.md","scripts/recipe_tool.py","skill-card.md"]},{"name":"dynamo-router-starter","description":"Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/router-modes.md","scripts/check_router_health.py","skill-card.md"]},{"name":"dynamo-troubleshoot","description":"Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/failure-decision-tree.md","scripts/collect_dynamo_debug_bundle.py","skill-card.md"]},{"name":"e2e-testing","description":"Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies. Use when writing Playwright tests, structuring page objects, or fixing flaky E2E runs in CI.","files":["SKILL.md"]},{"name":"e2e-testing-patterns","description":"Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.","files":["SKILL.md","references/details.md"]},{"name":"earth2studio-data-fetch","description":"Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or installation.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/targets/eval_1_target.py","evals/targets/eval_4_target.py","evals/targets/eval_7_target.py","skill-card.md"]},{"name":"earth2studio-deterministic-forecast","description":"Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.","files":["SKILL.md","BENCHMARK.md","evals/config.yml","evals/environment/Dockerfile","evals/environment/setup/bootstrap.sh","evals/evals.json","evals/targets/eval_1_target.py","evals/targets/eval_2_target.py","evals/targets/eval_3_target.py","references/troubleshooting.md","skill-card.md"]},{"name":"earth2studio-discover","description":"Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"eas-app-stores","description":"Build and submit iOS and Android apps with EAS to TestFlight, the App Store, or Google Play. Supports Expo and other React Native projects, plus existing native apps. Use for eas.json setup, release pipelines, signing, app versions and build numbers, store submissions, and listing metadata. For Expo","files":["SKILL.md","agents/openai.yaml","references/app-store-metadata.md","references/ios-app-store.md","references/native-ios.md","references/play-store.md","references/testflight.md","references/workflows.md"]},{"name":"eas-hosting","description":"Deploy Expo websites and Expo Router API routes to EAS Hosting - export the web bundle, run eas deploy for production and PR preview URLs, manage environment secrets and custom domains, and work within the Cloudflare Workers runtime. Also covers authoring API routes (+api.ts handlers, HTTP methods, ","files":["SKILL.md","agents/openai.yaml"]},{"name":"eas-observe","description":"Use for anything related to EAS Observe - adding `expo-observe` to an Expo project (AppMetricsRoot/ObserveRoot HOC, markInteractive and ObserveInteractiveMarker, the useObserve hook, the Expo Router / React Navigation integrations for per-route metrics, user-defined events via `Observe.logEvent`, er","files":["SKILL.md","agents/openai.yaml","references/metrics.md","references/queries.md","references/setup.md","references/third-party.md"]},{"name":"eas-update","description":"Configure and use EAS Update for over-the-air JavaScript and asset updates with expo-updates and EAS CLI. Use when setting up OTA updates, running eas update:configure or eas update, publishing to preview/staging/production channels, explaining branches/channels/runtime versions, testing updates, or","files":["SKILL.md","agents/openai.yaml"]},{"name":"eas-update-insights","description":"Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wa","files":["SKILL.md","agents/openai.yaml","references/channel-insights-schema.md","references/update-insights-schema.md"]},{"name":"eas-workflows","description":"Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.","files":["SKILL.md","agents/openai.yaml","scripts/fetch.js","scripts/package.json"]},{"name":"ecc-guide","description":"Answer questions about ECC by reading the live repo surface — agents, skills, commands, hooks, rules, install profiles, and docs — instead of memory. Use when the user asks what ECC includes, how to install or reset it, which skill or command fits a task, or how project onboarding works.","files":["SKILL.md"]},{"name":"ecc-recipes","description":"Map a described workflow to the right ECC command group with run-order and stop condition, or browse all command-group recipe families read live from the commands directory. Advisory only — never executes. Use when asked which commands run a workflow, the command sequence for a task, or to list ECC ","files":["SKILL.md"]},{"name":"ecc-tools-cost-audit","description":"Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.","files":["SKILL.md"]},{"name":"echtpost-automation","description":"Automate Echtpost tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ecosystem-primer","description":"INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environ","files":["SKILL.md"]},{"name":"edge-to-edge","description":"Use this skill to migrate your Jetpack Compose app to add adaptive edge-to-edge","files":["SKILL.md"]},{"name":"editorconfig","description":"Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences.","files":["SKILL.md"]},{"name":"ef-core","description":"Get best practices for Entity Framework Core","files":["SKILL.md"]},{"name":"efcore-d2-db-diagram","description":"Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based dat","files":["SKILL.md","references/d2-erd-style.md","references/efcore-model-extraction.md","references/grouping-modes.md","references/quality-gate.md","references/relationship-rules.md"]},{"name":"elastic-beanstalk","description":"Deploy to AWS Elastic Beanstalk, in either Beanstalk Standard mode (EC2) or Beanstalk Cluster mode (managed EKS). Triggers on: elastic beanstalk, EB, beanstalk standard, beanstalk cluster, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don't want to manage se","files":["SKILL.md","references/cluster-mode.md","references/configuration.md","references/platforms.md"]},{"name":"elasticsearch-anomaly-detection","description":"Create and manage Elastic ML anomaly detection jobs via the API. Use when setting up jobs on an index or data stream, configuring jobs and datafeeds, or opening, starting, or stopping them.","files":["SKILL.md","references/anomaly-detection-reference.md"]},{"name":"elasticsearch-anomaly-detection-explainer","description":"Explain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.","files":["SKILL.md","references/explainer-reference.md"]},{"name":"elasticsearch-cluster-health","description":"Diagnose a non-green Elasticsearch cluster and surface the single most likely cause with remediation. Use when an operator reports yellow or red status, unassigned shards, allocation failures, or wants read-only triage before deeper investigation. Teaches replica-vs-primary impact, allocation decide","files":["SKILL.md"]},{"name":"elasticsearch-esql","description":"Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.","files":["SKILL.md","references/dsl-to-esql-migration.md","references/esql-reference.md","references/esql-search-strategy.md","references/esql-search.md","references/esql-version-history.md","references/generation-tips.md","references/promql-command.md","references/query-approximation.md","references/query-patterns.md","references/time-series-queries.md"]},{"name":"elasticsearch-index-design","description":"Design and review Elasticsearch index mappings for stated access patterns: correct field types, text+keyword multi-fields, doc_values tuning, mapping-explosion avoidance, and explicit shard settings. Use when creating a new index, reviewing a mapping for storage or query performance, fixing wrong fi","files":["SKILL.md","references/field-type-decisions.md","references/mapping-explosion.md","references/multi-field-patterns.md"]},{"name":"elasticsearch-ingest","description":"Load CSV and JSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, or verifying document counts and mappings after ingest — not for Logstash pipelines, Be","files":["SKILL.md","references/mapping-design.md","references/ndjson-bulk-format.md","references/troubleshooting.md"]},{"name":"elasticsearch-onboarding","description":"Help developers new to Elasticsearch get from zero to a working search experience. Guide them through understanding their intent, mapping their data, and building a search experience with best practices baked in. Use this when the user shows intent to build search-related functionality, asks about E","files":["SKILL.md","references/catalog-ecommerce/ecommerce.md","references/code-generation/code-generation.md","references/elasticsearch-onboarding-playbook.md","references/keyword-search/keyword-search.md","references/mcp-setup/mcp-setup.md","references/rag-chatbot/rag-chatbot.md","references/search-ui/search-ui.md","references/use-case-library/use-case-library.md","references/vector-hybrid-search/vector-hybrid-search.md"]},{"name":"elasticsearch-query-optimization","description":"Diagnose slow Elasticsearch Query DSL searches and propose measured fixes. Use when a search is slow, profile output shows an expensive clause, exact-match filters sit in scoring context, or leading wildcards dominate latency. Ground every recommendation in search profiling — move non-scoring clause","files":["SKILL.md","references/query-optimization-reference.md"]},{"name":"elasticsearch-reindex","description":"Guide Elasticsearch reindex for performance: local and remote, slicing, throttling, task API. Use when copying or migrating indices, changing mappings, or transforming during reindex.","files":["SKILL.md","references/api-reference.md","references/patterns.md","references/troubleshooting.md","references/tuning.md"]},{"name":"elasticsearch-search-relevance","description":"Improve Elasticsearch search relevance for content and catalog indices: pin or promote results with query rules (correct rule type, criteria, and rule-query wiring) and tune organic ranking with multi_match, field boosts, and analysis grounded in the index mapping. Use when search results rank poorl","files":["SKILL.md","references/multi-match-tuning.md","references/query-rules-reference.md"]},{"name":"elk-stack","description":"Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.","files":["SKILL.md","references/elasticsearch-queries.md"]},{"name":"elorus-automation","description":"Automate Elorus tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"em-dash","description":"Expert on the history, origin, and correct use of the em dash. Use when writing or reviewing code, comments, or data files to avoid em and en dashes, defaulting to never using them and replacing any found with a hyphen (-). Includes strong knowledge of punctuation marks and the proper usage of punct","files":["SKILL.md"]},{"name":"email-and-password-best-practices","description":"Configure email verification, implement password reset flows, set password policies, and customise hashing algorithms for Better Auth email/password authentication. Use when users need to set up login, sign-in, sign-up, credential authentication, or password security with Better Auth.","files":["SKILL.md"]},{"name":"email-best-practices","description":"Use when building email features, emails going to spam, high bounce rates, setting up SPF/DKIM/DMARC authentication, implementing email capture, ensuring compliance (CAN-SPAM, GDPR, CASL), handling webhooks, retry logic, making emails accessible (alt text, headings, contrast, screen readers), or dec","files":["SKILL.md","references/accessibility.md","references/compliance.md","references/deliverability.md","references/email-capture.md","references/email-types.md","references/list-management.md","references/marketing-emails.md","references/sending-reliability.md","references/transactional-email-catalog.md","references/transactional-emails.md","references/webhooks-events.md"]},{"name":"email-drafter","description":"Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up emai","files":["SKILL.md"]},{"name":"email-ops","description":"Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.","files":["SKILL.md"]},{"name":"emailable-automation","description":"Automate Emailable tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"emaillistverify-automation","description":"Automate Emaillistverify tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"emailoctopus-automation","description":"Automate Emailoctopus tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"embedded-systems","description":"Use when developing firmware for microcontrollers, implementing RTOS applications, or optimizing power consumption. Invoke for STM32, ESP32, FreeRTOS, bare-metal, power optimization, real-time systems, configure peripherals, write interrupt handlers, implement DMA transfers, debug timing issues.","files":["SKILL.md","references/communication-protocols.md","references/memory-optimization.md","references/microcontroller-programming.md","references/power-optimization.md","references/rtos-patterns.md"]},{"name":"embedding-strategies","description":"Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.","files":["SKILL.md","references/details.md"]},{"name":"emelia-automation","description":"Automate Emelia tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"employment-contract-templates","description":"Create employment contracts, offer letters, and HR policy documents following legal best practices. Use when drafting employment agreements, creating HR policies, or standardizing employment documentation.","files":["SKILL.md","references/details.md"]},{"name":"enabling-lambda-vpc-internet-access","description":"Enables internet access for AWS Lambda functions deployed in VPC subnets by creating NAT Gateway infrastructure, configuring public/private subnet routing, and updating security groups. Use when a VPC-attached Lambda function cannot reach the internet.","files":["SKILL.md","references/lambda-vpc-internet-access.md"]},{"name":"encodian-automation","description":"Automate Encodian tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"endorsal-automation","description":"Automate Endorsal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"energy-procurement","description":"Procure electricity and natural gas for commercial and industrial facilities: tariff and rate-schedule optimization, demand-charge mitigation, supplier RFPs, fixed/index/block-and-index hedging, renewable PPA and REC evaluation, and sustainability reporting. Use when procuring energy, optimizing uti","files":["SKILL.md"]},{"name":"enginemailer-automation","description":"Automate Enginemailer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"enhance-prompt","description":"Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.","files":["SKILL.md","README.md","references/KEYWORDS.md"]},{"name":"enigma-automation","description":"Automate Enigma tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"entelligence-automation","description":"Automate Entelligence tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"enterprise-agent-ops","description":"Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when runni","files":["SKILL.md"]},{"name":"entra-agent-id","description":"Microsoft Entra Agent ID (preview) for creating OAuth2-capable AI agent identities via Microsoft Graph beta API.\nCovers Agent Identity Blueprints, BlueprintPrincipals, Agent Identities, required permissions, sponsors, and Workload Identity Federation.\nIncludes Microsoft Entra SDK for AgentID (contai","files":["SKILL.md","references/known-limitations.md","references/oauth2-token-flow.md","references/sdk-sidecar.md"]},{"name":"entra-agent-user","description":"Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.","files":["SKILL.md"]},{"name":"entra-app-registration","description":"Guides Microsoft Entra ID app registration, OAuth 2.0 authentication, and MSAL integration. USE FOR: create app registration, register Azure AD app, configure OAuth, set up authentication, add API permissions, generate service principal, MSAL example, console app auth, Entra ID setup, Azure AD authe","files":["SKILL.md","references/api-permissions.md","references/auth-best-practices.md","references/cli-commands.md","references/console-app-example.md","references/first-app-registration.md","references/oauth-flows.md","references/sdk/azure-identity-dotnet.md","references/sdk/azure-identity-java.md","references/sdk/azure-identity-py.md","references/sdk/azure-identity-rust.md","references/sdk/azure-identity-ts.md","references/sdk/azure-keyvault-py.md","references/sdk/azure-keyvault-secrets-ts.md","references/sdk/microsoft-azure-webjobs-extensions-authentication-events-dotnet.md","references/troubleshooting.md"]},{"name":"entry-point-analyzer","description":"Analyzes smart contract codebases to identify state-changing entry points for security auditing. Detects externally callable functions that modify state, categorizes them by access level (public, admin, role-restricted, contract-only), and generates structured audit reports. Excludes view/pure/read-","files":["SKILL.md","agents/openai.yaml","references/cosmwasm.md","references/move-aptos.md","references/move-sui.md","references/solana.md","references/solidity.md","references/ton.md","references/vyper.md"]},{"name":"eodhd-apis-automation","description":"Automate Eodhd Apis tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"epic-games-automation","description":"Automate Epic Games tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"error-handling","description":"Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages. Use when designing error types, retries, circuit breakers, or user-facing failure messages in TypeScript, Python, or Go.","files":["SKILL.md"]},{"name":"error-handling-patterns","description":"Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.","files":["SKILL.md","references/details.md"]},{"name":"error-tracking-android","description":"PostHog error tracking for Android","files":["SKILL.md","references/alerts.md","references/android.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/upload-source-maps.md"]},{"name":"error-tracking-angular","description":"PostHog error tracking for Angular","files":["SKILL.md","references/alerts.md","references/angular.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/upload-source-maps.md"]},{"name":"error-tracking-flutter","description":"PostHog error tracking for Flutter","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/flutter.md","references/monitoring.md","references/upload-source-maps.md"]},{"name":"error-tracking-go","description":"PostHog error tracking for Go","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/go.md","references/monitoring.md","references/upload-source-maps.md"]},{"name":"error-tracking-hono","description":"PostHog error tracking for Hono","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/hono.md","references/monitoring.md","references/upload-source-maps.md"]},{"name":"error-tracking-nextjs","description":"PostHog error tracking for Next.js","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/nextjs.md","references/upload-source-maps.md"]},{"name":"error-tracking-node","description":"PostHog error tracking for Node.js","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/node.md","references/upload-source-maps.md"]},{"name":"error-tracking-nuxt","description":"PostHog error tracking for Nuxt","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/nuxt.md","references/upload-source-maps.md"]},{"name":"error-tracking-python","description":"PostHog error tracking for Python","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/python.md","references/upload-source-maps.md"]},{"name":"error-tracking-react","description":"PostHog error tracking for React","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/react.md","references/upload-source-maps.md"]},{"name":"error-tracking-react-native","description":"PostHog error tracking for React Native","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/react-native.md","references/upload-source-maps.md"]},{"name":"error-tracking-ruby","description":"PostHog error tracking for Ruby","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/ruby.md","references/upload-source-maps.md"]},{"name":"error-tracking-ruby-on-rails","description":"PostHog error tracking for Ruby on Rails","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/ruby-on-rails.md","references/upload-source-maps.md"]},{"name":"error-tracking-svelte","description":"PostHog error tracking for Svelte","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/svelte.md","references/upload-source-maps.md"]},{"name":"error-tracking-web","description":"PostHog error tracking for Web (JavaScript)","files":["SKILL.md","references/alerts.md","references/assigning-issues.md","references/fingerprints.md","references/monitoring.md","references/upload-source-maps.md","references/web.md"]},{"name":"esign-field-placement","description":"Deterministic method for placing signature, date, and text fields in a web e-signature composer through a browser automation session, using a fixed signature page, numeric Location panel coordinates instead of drag, and a save-as-draft default. Use when automating envelope preparation for generated ","files":["SKILL.md","references/placement-checklist.md"]},{"name":"esignatures-io-automation","description":"Automate Esignatures IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"esm","description":"Uses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohub hosted clients, including former Forge workflows; distinguishes the separate legacy fair-esm distribution.","files":["SKILL.md","references/biohub-platform.md","references/esm-c-api.md","references/esm3-api.md","references/forge-api.md","references/review.md","references/workflows.md","scripts/esm_embeddings.py"]},{"name":"espocrm-automation","description":"Automate Espocrm tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"espresso-skill","description":"Generates Espresso UI tests for Android apps in Kotlin or Java. Espresso runs inside the app process for fast, reliable UI testing. Supports local and TestMu AI cloud real devices. Use when user mentions \"Espresso\", \"onView\", \"ViewMatchers\", \"Android UI test\", or \"instrumentation test\". Triggers on:","files":["SKILL.md","reference/advanced-patterns.md","reference/cloud-integration.md","reference/playbook.md"]},{"name":"esputnik-automation","description":"Automate Esputnik tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"etermin-automation","description":"Automate Etermin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"etetoolkit","description":"Analyzes, manipulates, compares, annotates, and visualizes phylogenetic or other hierarchical trees with ETE 4. Supports Newick/Nexus tree I/O, topology edits and pattern matching, Robinson-Foulds comparisons, gene-tree evolutionary events and reconciliation, NCBI/GTDB taxonomy, SmartView exploratio","files":["SKILL.md","references/api_reference.md","references/migration-ete3-to-ete4.md","references/review.md","references/taxonomy.md","references/visualization.md","references/workflows.md","scripts/quick_visualize.py","scripts/tree_operations.py"]},{"name":"eval-driven-dev","description":"Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add ","files":["SKILL.md","references/1-a-project-analysis.md","references/1-b-entry-point.md","references/1-c-eval-criteria.md","references/2a-instrumentation.md","references/2b-implement-runnable.md","references/2c-capture-and-verify-trace.md","references/3-define-evaluators.md","references/4-build-dataset.md","references/5-run-tests.md","references/6-analyze-outcomes.md","references/evaluators.md","references/runnable-examples/cli-app.md","references/runnable-examples/fastapi-web-server.md","references/runnable-examples/standalone-function.md","references/testing-api.md","references/wrap-api.md","resources/setup.sh","resources/verify_step6_completion.py"]},{"name":"eval-engineering","description":"Inspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs","files":["SKILL.md","agents/openai.yaml","references/calibration.md","references/discovery.md","references/environment-building.md","references/examples/service-desk.md","references/harbor.md","references/multi-turn-simulation/guide.md","references/multi-turn-simulation/harbor_example.py","references/multi-turn-simulation/model_user.py","references/multi-turn-simulation/runner.py","references/patterns.md","references/synthetic-data.md","references/task-design.md","references/task-implementation.md","references/verifier-design.md","references/world-knowledge.md","scripts/compare_tool_schemas.py","scripts/snapshot_sqlite_state.py"]},{"name":"eval-harness","description":"Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliabilit","files":["SKILL.md"]},{"name":"eval-harness-first","description":"Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.","files":["SKILL.md","references/grader-templates.md","references/judge-calibration.md"]},{"name":"eval-plan","description":"Preregister a paid eval (bars, arms, decoys, stop rules), dry-run it at zero cost,\nthen run a three-item priced pilot whose spend table gates approval. (gstack)","files":["SKILL.md"]},{"name":"evaluating-cosmos-policy","description":"Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.","files":["SKILL.md","references/libero-commands.md","references/robocasa-commands.md"]},{"name":"evaluation","description":"This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.","files":["SKILL.md","references/metrics.md","scripts/evaluator.py"]},{"name":"evaluation-methodology","description":"PluginEval quality methodology, covering dimensions, rubrics, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when setti","files":["SKILL.md","references/improving-scores.md","references/rubrics.md"]},{"name":"evenium-automation","description":"Automate Evenium tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"event-store-design","description":"Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.","files":["SKILL.md","references/details.md"]},{"name":"eventee-automation","description":"Automate Eventee tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"eventzilla-automation","description":"Automate Eventzilla tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"everhour-automation","description":"Automate Everhour tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"eversign-automation","description":"Automate Eversign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"evm-token-decimals","description":"Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools. Use when handling token amounts across EVM chains, or when a balance, price, or transfer amount is o","files":["SKILL.md"]},{"name":"evolving-ai-agents","description":"Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.","files":["SKILL.md","references/README.md","references/api.md","references/architecture.md","references/design-patterns.md","references/examples.md","references/issues.md","references/releases.md","references/tutorials.md"]},{"name":"exa-automation","description":"Automate Exa tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"exa-search","description":"Searches scientific and technical web content with Exa and extracts page or PDF text from URLs in batches. Supports scholarly discovery with the publication category and academic domain filters. Applies to requests to search the web, look up current research, fetch a page, or extract an article usin","files":["SKILL.md","references/web-extract.md","references/web-search.md","scripts/exa_extract.py","scripts/exa_search.py"]},{"name":"exam-ready","description":"Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.","files":["SKILL.md"]},{"name":"example-command","description":"An example user-invoked skill that demonstrates frontmatter options and the skills/<name>/SKILL.md layout","files":["SKILL.md"]},{"name":"example-skill","description":"This skill should be used when the user asks to \"demonstrate skills\", \"show skill format\", \"create a skill template\", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills.","files":["SKILL.md"]},{"name":"excalidraw-diagram-generator","description":"Generate Excalidraw diagrams from natural language descriptions. Use when asked to \"create a diagram\", \"make a flowchart\", \"visualize a process\", \"draw a system architecture\", \"create a mind map\", or \"generate an Excalidraw file\". Supports flowcharts, relationship diagrams, mind maps, and system arc","files":["SKILL.md","references/element-types.md","references/excalidraw-schema.md","scripts/README.md","scripts/add-arrow.py","scripts/add-icon-to-diagram.py","scripts/split-excalidraw-library.py"]},{"name":"execute","description":"Carry an approved task through to working, verified code","files":["SKILL.md"]},{"name":"exist-automation","description":"Automate Exist tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"experiment-tracking-swanlab","description":"Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.","files":["SKILL.md","references/integrations.md","references/visualization.md"]},{"name":"experimental-design","description":"Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratifi","files":["SKILL.md","references/design_types.md","references/factorial_and_doe.md","references/randomization_and_blocking.md","references/sequential_and_adaptive.md","scripts/doe_designs.py","scripts/randomization.py"]},{"name":"explain-interface","description":"Explains how a website, a visual effect or an animation was built, from a live URL or a screenshot.","files":["SKILL.md","agents/openai.yaml","find-the-effect.md","from-an-image.md","no-browser.md","read-the-system.md"]},{"name":"exploratory-data-analysis","description":"Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffold","files":["SKILL.md","assets/report_template.md","references/bioinformatics_genomics_formats.md","references/chemistry_molecular_formats.md","references/general_scientific_formats.md","references/microscopy_imaging_formats.md","references/proteomics_metabolomics_formats.md","references/spectroscopy_analytical_formats.md","scripts/__init__.py","scripts/_capabilities.py","scripts/_common.py","scripts/_structured.py","scripts/_tabular.py","scripts/capability_manifest.py","scripts/distribution_sensitivity.py","scripts/eda_analyzer.py","scripts/image_inspector.py","scripts/missingness_leakage_audit.py","scripts/report_scaffold.py","scripts/sequence_inspector.py","scripts/tabular_profile.py"]},{"name":"exploring-data-catalog","description":"Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for f","files":["SKILL.md","references/discovery-checklist.md"]},{"name":"expo-animation","description":"Build animations in React Native and Expo, making the decisions in the order that determines whether they feel right — should it animate, which thread it runs on, which properties, spring or timing, how the gesture hands off, how it degrades. Writes the implementation with Reanimated, Gesture Handle","files":["SKILL.md","RECIPES.md","agents/openai.yaml"]},{"name":"expo-app-clip","description":"Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app.","files":["SKILL.md","agents/openai.yaml","references/native-module.md"]},{"name":"expo-brownfield","description":"Integrate Expo and React Native into an existing native iOS or Android app. Use for brownfield, embedding a React Native screen in SwiftUI/UIKit or Kotlin, or AAR/XCFramework packaging. Covers isolated and integrated approaches. For building or distributing a purely native app with EAS, use eas-app-","files":["SKILL.md","agents/openai.yaml","references/brownfield-integrated.md","references/brownfield-isolated.md","references/comparison.md","references/feature-integration.md","references/troubleshooting.md","references/version-compatibility.md"]},{"name":"expo-data-fetching","description":"Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, loading/empty/error screen states, and Expo Router data loaders (`useLoaderData`).","files":["SKILL.md","agents/openai.yaml","references/expo-router-loaders.md","references/offline-and-cancellation.md"]},{"name":"expo-design-system","description":"Build and maintain a design system inside an Expo app - a reusable theme of design tokens (color, spacing, typography, radius, shadow, motion), reusable component structure with variant/size/state prop conventions, and rules for when to extract a repeated view into a shared component. Use when creat","files":["SKILL.md","agents/openai.yaml","references/audit.md","references/native-slop.md"]},{"name":"expo-dev-client","description":"Build and distribute Expo development clients locally or via TestFlight for internal testing. For production TestFlight releases and store submission, use the eas-app-stores skill.","files":["SKILL.md","agents/openai.yaml"]},{"name":"expo-dom","description":"Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally. For the end-to-end migration of a whole web app, use the expo-web-to-native skill.","files":["SKILL.md","agents/openai.yaml"]},{"name":"expo-examples","description":"Expo's official example projects - the expo/examples repo of ~70 `with-*` integrations (Stripe, Clerk, Supabase, OpenAI, maps, Reanimated, SQLite, Skia, NativeWind, and more). Use when integrating a third-party library or service into an existing Expo app and you want the canonical, version-matched ","files":["SKILL.md","agents/openai.yaml","references/catalog.md"]},{"name":"expo-migrate-module","description":"Migrate an existing Apple/Swift Expo native module from the Expo Modules API 1.0 definition DSL to the 2.0 macro API (sometimes called v2) while preserving its JavaScript and TypeScript contract. Use when converting or incrementally adopting @ExpoModule, @JS, @Event, @SharedObject, or @Record in an ","files":["SKILL.md","agents/openai.yaml","references/compatibility.md","references/example.md","references/migration-map.md"]},{"name":"expo-module","description":"Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Use when building or modifying native modules for Expo. Not ","files":["SKILL.md","agents/openai.yaml","references/config-plugin.md","references/create-expo-module.md","references/lifecycle.md","references/module-config.md","references/native-module.md","references/native-view.md"]},{"name":"expo-native-ui","description":"Build beautiful, native-feeling Expo screens. Covers Apple HIG styling, semantic colors, native controls, SF Symbols, media, visual effects, gradients, storage, and responsive layout. For routing and navigation, use the expo-router skill; for motion and animation, use the expo-animation skill.","files":["SKILL.md","agents/openai.yaml","references/controls.md","references/gradients.md","references/icons.md","references/media.md","references/storage.md","references/visual-effects.md","references/webgpu-three.md"]},{"name":"expo-overview","description":"Entry point and router for every Expo or EAS task. Load this skill first — before writing code and before choosing another expo-* / eas-* skill — when the request, PRD, or spec mentions Expo, EAS, Expo Go, or an expo-* package, or the project has an `expo` dependency in `package.json`. Within that g","files":["SKILL.md","agents/openai.yaml"]},{"name":"expo-project-structure","description":"Folder structure for a new Expo app. Use when scaffolding or laying out a new Expo project with Expo Router, or deciding where a file should live in one. For new projects only — never restructure an existing app to match.","files":["SKILL.md","agents/openai.yaml"]},{"name":"expo-router","description":"Navigation and routing for Expo Router. Covers file-based routes, groups and dynamic routes, folder organization, Link with previews and context menus, native Stack, page titles, modals and form sheets, NativeTabs, headers and toolbars, and header search bars.","files":["SKILL.md","agents/openai.yaml","references/form-sheet.md","references/route-structure.md","references/search.md","references/tabs.md","references/toolbar-and-headers.md","references/zoom-transitions.md"]},{"name":"expo-skill-feedback","description":"Submit feedback on an Expo skill—or Expo itself—and control bundled anonymous usage telemetry (off by default / opt-in). Submit feedback with: npx --yes submit-expo-feedback@latest \"ACTIONABLE_FEEDBACK\". Optionally add either or both: --category \"CATEGORY\" and --subject \"SUBJECT\". Replace the upperc","files":["SKILL.md","agents/openai.yaml","scripts/skill-event.cjs","scripts/telemetry.cjs","scripts/telemetry_common.cjs"]},{"name":"expo-ui","description":"Build native UI with the @expo/ui package: real SwiftUI on iOS and Jetpack Compose on Android. Default to @expo/ui for sheets (BottomSheet), pickers, sliders, toggles, menus, and grouped-form sections — do NOT reach for Reanimated, @gorhom/bottom-sheet, or RN built-in Picker/Switch; use @expo/ui ins","files":["SKILL.md","agents/openai.yaml","references/drop-in-replacements.md","references/jetpack-compose.md","references/swift-ui.md","references/universal.md","scripts/list-components.js"]},{"name":"expo-upgrade","description":"Guidelines for upgrading Expo SDK versions and fixing dependency issues","files":["SKILL.md","agents/openai.yaml","references/expo-av-to-audio.md","references/expo-av-to-video.md","references/native-tabs.md","references/new-architecture.md","references/react-19.md","references/react-compiler.md","references/react-navigation-to-expo-router.md"]},{"name":"expo-web-to-native","description":"Migrate an existing web React app to a native iOS/Android app with Expo. Use when the user wants to turn a website into a mobile app, port a Next.js/Vite/CRA React codebase to React Native, reuse web code on native incrementally, or asks how web idioms (the DOM, CSS, React Router, localStorage, wind","files":["SKILL.md","agents/openai.yaml","references/false-friends.md","references/native-patterns.md","references/run-as-goal.md","references/verify-on-device.md"]},{"name":"expofp-automation","description":"Automate Expofp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"exporting-rds-to-s3","description":"Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when e","files":["SKILL.md","references/export-rds-to-s3.md"]},{"name":"extension-to-functions-codebase","description":"Skill for converting an installed Firebase Extension (or extension source) into a standalone Cloud Functions for Firebase codebase or publishable npm package, including V1 to V2 trigger upgrades, lifecycle hooks, and declarative security","files":["SKILL.md","references/configuration-migration.md","references/destructuring-shim.md","references/signature-mapping.md"]},{"name":"external-context","description":"Invoke parallel document-specialist agents for external web searches and documentation lookup","files":["SKILL.md"]},{"name":"extracta-ai-automation","description":"Automate Extracta AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"eyeball","description":"Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes.","files":["SKILL.md","tools/eyeball.py"]},{"name":"fabric-lakehouse","description":"Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and ","files":["SKILL.md","references/getdata.md","references/pyspark.md"]},{"name":"faceup-automation","description":"Automate Faceup tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"factorial-automation","description":"Automate Factorial tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"faiss","description":"Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for hi","files":["SKILL.md","references/index_types.md"]},{"name":"fal-ai-media","description":"Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.","files":["SKILL.md"]},{"name":"fal-gamedev","description":"Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for \"pixel art character\", \"sprite sheet\", \"walk cycle\", \"game sprites\", \"isometric sprites\", \"side-scroller assets\", \"RPG character sprites\", \"idle animation\", \"attack animation\", \"jump a","files":["SKILL.md"]},{"name":"fal-models-catalog","description":"Choose the right fal.ai endpoint for a given task. Modality-organized catalog of production endpoint defaults, text-to-image, image-to-image, text-to-video, image-to-video, and more. Use when the user has not named a specific model, or asks \"which model for X\", \"best endpoint for Y\", \"what should I ","files":["SKILL.md","references/audio-to-text.md","references/image-to-3d.md","references/image-to-image.md","references/image-to-text.md","references/image-to-video.md","references/text-to-3d.md","references/text-to-audio.md","references/text-to-image.md","references/text-to-video.md","references/video-to-video.md"]},{"name":"fal-prompting","description":"Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it (\"how do I prompt Kling\", \"GPT Image 2 prompt structure\", \"Happy Horse tips\"), or when prompts to a routed endpoint keep coming back generic and the famil","files":["SKILL.md","references/gpt-image-2.md","references/happy-horse.md","references/kling.md"]},{"name":"fal-recipes","description":"Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: \"make a commercial\", \"ad creative\", \"product photography\", \"cinematic shot\", \"film look\", \"character design\", \"consistent character\", \"anchor syste","files":["SKILL.md","references/character-design.md","references/character-lipsync.md","references/cinematography.md","references/commercial.md","references/image-restoration.md","references/product-shot.md","references/realism.md","references/storytelling.md","references/video-with-audio.md","references/virtual-tryon.md"]},{"name":"fal-regenerate-3d","description":"Build a fully-interactive 3D character-selector experience powered entirely by fal.ai. Generates stylized characters (FLUX.2 / GPT-Image-2), rigged animated GLBs (Meshy v6), themed companion creatures, per-character PATINA floor textures, looped Seedance video backgrounds, and a Three.js scene with ","files":["SKILL.md"]},{"name":"fal-workflow","description":"Author and execute multi-step media pipelines on fal.ai. Two modes: (A) declarative workflow JSON files for the fal.ai workflow runtime (\"create workflow\", \"chain models\", \"image to video pipeline\"); (B) imperative genmedia CLI orchestration when scripting locally (\"design pipeline\", \"fan-out genera","files":["SKILL.md","references/EXAMPLES.md","references/MODELS.md","references/PATTERNS.md","references/WORKFLOWS.md","references/node-rules.md","references/pipeline-patterns.md","references/recipes.md","references/utility-endpoints.md"]},{"name":"fan-cam","description":"Create personalized live sports broadcast fan-cam videos with genmedia. Use this for realistic spectator cutaways, stadium or arena crowd reactions, broadcast screenshots, sports TV shots, scoreboard overlays, TV channel bugs, and identity-preserving fan reaction videos from a user photo.","files":["SKILL.md","references/examples.md","references/genmedia-commands.md","references/prompt-contract.md"]},{"name":"fastapi-expert","description":"Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentatio","files":["SKILL.md","references/async-sqlalchemy.md","references/authentication.md","references/endpoints-routing.md","references/migration-from-django.md","references/pydantic-v2.md","references/testing-async.md"]},{"name":"fastapi-patterns","description":"FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest. Use when building or reviewing FastAPI apps — Pydantic schemas, dependencies, async handlers, ","files":["SKILL.md"]},{"name":"fastapi-router-py","description":"Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.","files":["SKILL.md","assets/template.py","references/capabilities.md"]},{"name":"fastapi-templates","description":"Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.","files":["SKILL.md","references/details.md"]},{"name":"fastify-best-practices","description":"Guides development of Fastify Node.js backend servers and REST APIs using TypeScript or JavaScript. Use when building, configuring, or debugging a Fastify application — including defining routes, implementing plugins, setting up JSON Schema validation, handling errors, optimising performance, managi","files":["SKILL.md","rules/authentication.md","rules/configuration.md","rules/content-type.md","rules/cors-security.md","rules/database.md","rules/decorators.md","rules/deployment.md","rules/error-handling.md","rules/hooks.md","rules/http-proxy.md","rules/logging.md","rules/performance.md","rules/plugins.md","rules/routes.md","rules/schemas.md","rules/serialization.md","rules/testing.md","rules/typescript.md","rules/websockets.md","tile.json"]},{"name":"feathery-automation","description":"Automate Feathery tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"feature-dev","description":"Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer). Use for multi-file features, architectural decisions, or encountering ambiguous requirements, integration patterns, design approach errors.","files":["SKILL.md"]},{"name":"feature-flags","description":"Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. Control feature visibility, perform A/B testing, and enable trunk-based development. Use when implementing gradual rollouts, feature toggles, or experimentation platforms.","files":["SKILL.md"]},{"name":"feature-forge","description":"Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requi","files":["SKILL.md","references/acceptance-criteria.md","references/ears-syntax.md","references/interview-questions.md","references/pre-discovery-subagents.md","references/specification-template.md"]},{"name":"fedora-linux-triage","description":"Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.","files":["SKILL.md"]},{"name":"fedramp-compliance","description":"Implement FedRAMP requirements for federal cloud services. Configure NIST 800-53 controls and continuous monitoring. Use when providing cloud services to US federal agencies.","files":["SKILL.md"]},{"name":"felt-automation","description":"Automate Felt tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fetching-dbt-docs","description":"Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer.","files":["SKILL.md","scripts/search-dbt-docs.sh"]},{"name":"fibery-automation","description":"Automate Fibery tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fictiv","description":"Operates Fictiv (app.fictiv.com), the on-demand manufacturing platform, end to end in the user's browser. Covers uploading CAD parts, configuring process, material, finish, threads, tolerances and inspections, getting instant or manual quotes, reading and fixing DFM feedback, choosing lead time and ","files":["SKILL.md","references/capabilities.md","references/checkout-and-payment.md","references/orders-library-teams.md","references/quoting.md","references/troubleshooting.md","references/ui-map.md","scripts/check_cad_file.py","scripts/list_dropdown_options.js","scripts/quote_state.js"]},{"name":"fidel-api-automation","description":"Automate Fidel API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"figma","description":"Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/figma-mcp-config.md","references/figma-tools-and-prompts.md"]},{"name":"figma-code-connect","description":"Creates and maintains Figma Code Connect template files that map Figma components to code snippets. Use when the user mentions Code Connect, Figma component mapping, design-to-code translation, or asks to create/update .figma.ts or .figma.js files.","files":["SKILL.md","references/advanced-patterns.md","references/api.md"]},{"name":"figma-code-connect-components","description":"Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code impl","files":["SKILL.md","LICENSE.TXT","agents/openai.yaml","references/mapping-checklist.md","scripts/normalize_node_id.py"]},{"name":"figma-create-design-system-rules","description":"Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma ","files":["SKILL.md","LICENSE.TXT","agents/openai.yaml","references/rule-template.md","scripts/check_agents_md.sh"]},{"name":"figma-create-new-file","description":"Always use this skill when the user wants to create a new Figma Design, FigJam, or Slides file. You MUST invoke this skill BEFORE every `create_new_file` tool call.","files":["SKILL.md"]},{"name":"figma-design-to-code","description":"**MANDATORY prerequisite** — you MUST invoke this skill BEFORE calling the `get_design_context` Figma MCP tool. You MUST trigger this skill whenever the user wants to implement, build, port, or code up a Figma design as code. Example prompts (not exhaustive) are 'implement this Figma design', 'build","files":["SKILL.md"]},{"name":"figma-generate-design","description":"Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in ","files":["SKILL.md","references/componentization.md","references/discover-product-font.md"]},{"name":"figma-generate-diagram","description":"MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagra","files":["SKILL.md","references/architecture.md","references/erd.md","references/flowchart.md","references/gantt.md","references/sequence.md","references/state.md","references/workflow.md"]},{"name":"figma-generate-library","description":"Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, create individual components with proper variant sets and variable bindings, set up theming (light/dark modes), document foundations, or reconci","files":["SKILL.md","references/code-connect-setup.md","references/component-creation.md","references/discovery-phase.md","references/documentation-creation.md","references/error-recovery.md","references/naming-conventions.md","references/token-creation.md","scripts/bindVariablesToComponent.js","scripts/cleanupOrphans.js","scripts/createComponentWithVariants.js","scripts/createDocumentationPage.js","scripts/createSemanticTokens.js","scripts/createVariableCollection.js","scripts/inspectFileStructure.js","scripts/validateCreation.js"]},{"name":"figma-generative-plugins","description":"**MANDATORY prerequisite** — load this skill before calling `create_generative_plugin` or `update_generative_plugin`. Use when the user asks to create, author, change, fix, or extend a reusable generative Figma plugin.","files":["SKILL.md","references/authoring.md"]},{"name":"figma-implement-design","description":"Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma ca","files":["SKILL.md","LICENSE.txt","agents/openai.yaml"]},{"name":"figma-implement-motion","description":"Translates Figma motion and animations into production-ready application code. Use when implementing animation/motion from a Figma design — user mentions \"implement this motion\", \"add animation from Figma\", \"animate this component\", provides a Figma URL whose node is animated, or when `get_design_co","files":["SKILL.md","references/examples-and-anti-examples.md","references/framework-recommendations.md","references/gotchas.md","references/motion-lint-rules.md","references/svg-and-path-motion.md","references/unsupported-and-fallbacks.md"]},{"name":"figma-shaders","description":"**MANDATORY prerequisite** — load this skill before calling `create_shader` or `update_shader`. Use when the user asks to create, author, change, fix, or iterate on a shader effect, shader fill, custom effect, custom fill, or procedural shader in Figma.","files":["SKILL.md","references/authoring.md"]},{"name":"figma-swiftui","description":"SwiftUI ↔ Figma translation. Use whenever the user mentions Swift, SwiftUI, iOS, iPhone, or iPad — in EITHER direction — translating a Figma design into SwiftUI (design → code), or pushing SwiftUI views / screens / tokens back into a Figma file (code → design). Triggers on phrases like 'implement th","files":["SKILL.md","references/code-to-design.md","references/design-to-code.md"]},{"name":"figma-use-figjam","description":"This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.","files":["SKILL.md","references/batch-modify.md","references/create-code-block.md","references/create-connector.md","references/create-label.md","references/create-section.md","references/create-shape-with-text.md","references/create-sticky.md","references/create-table.md","references/create-text.md","references/edit-text.md","references/figjam-colors.md","references/plan-board-content.md","references/position-figjam-nodes.md"]},{"name":"figma-use-motion","description":"Motion / animation context for the `use_figma` MCP tool — animating Figma nodes via manual keyframes, animation styles, easing, and timeline duration. Load alongside figma-use whenever a task involves adding, editing, or inspecting animation on a node.","files":["SKILL.md","references/motion-easing.md","references/motion-patterns.md"]},{"name":"figma-use-slides","description":"This skill helps agents use Figma's use_figma MCP tool in the Slides context. Can be used alongside figma-use which has foundational context for using the use_figma tool.","files":["SKILL.md","references/slide-content.md","references/slide-design.md","references/slide-gotchas.md","references/slide-grid.md","references/slide-lifecycle.md","references/slide-properties.md"]},{"name":"file-conversion","description":"Use when the user needs a local file converted between common image, audio, video, document, or data formats. Select installed tools, preserve originals, and verify the output.","files":["SKILL.md"]},{"name":"file-organizer","description":"Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.","files":["SKILL.md"]},{"name":"files-com-automation","description":"Automate Files Com tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"filesystem-context","description":"This skill should be used when agent work needs file-backed context: durable scratchpads, tool-output offloading, just-in-time discovery, cross-agent handoff files, filesystem memory, or cleanup policies for context stored outside the prompt.","files":["SKILL.md","references/implementation-patterns.md","scripts/filesystem_context.py"]},{"name":"fillout-forms-automation","description":"Automate Fillout tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"finage-automation","description":"Automate Finage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"finalize-agent-prompt","description":"Finalize prompt file using the role of an AI agent to polish the prompt for the end user.","files":["SKILL.md"]},{"name":"finance-billing-ops","description":"Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.","files":["SKILL.md"]},{"name":"find-bugs","description":"Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.","files":["SKILL.md"]},{"name":"find-models","description":"Find AI models on Replicate using search and curated collections.","files":["SKILL.md"]},{"name":"find-skills","description":"Helps users discover and install agent skills when they ask questions like \"how do I do X\", \"find a skill for X\", \"is there a skill that can...\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable ski","files":["SKILL.md"]},{"name":"findymail-automation","description":"Automate Findymail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fine-tuning-expert","description":"Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, Op","files":["SKILL.md","references/dataset-preparation.md","references/deployment-optimization.md","references/evaluation-metrics.md","references/hyperparameter-tuning.md","references/lora-peft.md"]},{"name":"fine-tuning-openvla-oft","description":"Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or di","files":["SKILL.md","references/aloha-workflow.md","references/config-troubleshooting.md","references/libero-workflow.md","references/paper-and-checkpoints.md"]},{"name":"fine-tuning-serving-openpi","description":"Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference serve","files":["SKILL.md","references/checkpoints-and-env-map.md","references/config-recipes.md","references/pytorch-gotchas.md","references/remote-client-pattern.md","references/training-debugging.md"]},{"name":"fine-tuning-with-trl","description":"Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.","files":["SKILL.md","references/dpo-variants.md","references/online-rl.md","references/reward-modeling.md","references/sft-training.md"]},{"name":"finerworks-automation","description":"Automate Finerworks tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"finetuning","description":"Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says \"start training\", \"fine-tune my model\", \"I'm ready to train\", or when the plan reaches the finetuning step. Supports SFT, DPO, RLVR, and RLAIF trainers, including RLVR Lambda reward function ","files":["SKILL.md","code_templates/dpo.py","code_templates/rlaif_builtin.py","code_templates/rlaif_custom_prompt.py","code_templates/rlvr.py","code_templates/sft.py","references/code_output_guide.md","references/continuous_customization.md","references/eula_links.md","references/rlaif_guide.md","references/rlvr_reward_function.md","scripts/mlflow_reference.py","templates/nova_rlvr_reward_function_source_template.py","templates/rlvr_reward_function_source_template.py"]},{"name":"finetuning-method-selection","description":"Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement met","files":["SKILL.md","references/memory-math.md","references/model-catalog.md"]},{"name":"finetuning-technique","description":"Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has decided to finetune and needs to choose a technique, or when the technique needs to be validated against a model. Requires a base ","files":["SKILL.md","references/finetune_technique_selection_guide.md","scripts/get_recipes.py"]},{"name":"fingertip-automation","description":"Automate Fingertip tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"finishing-a-development-branch","description":"Use when implementation is complete, all tests pass, and you need to decide how to integrate the work","files":["SKILL.md"]},{"name":"finmei-automation","description":"Automate Finmei tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"finnish-humanizer","description":"Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to \"humanize\", \"naturalize\", or \"remove AI feel\" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific ","files":["SKILL.md","references/patterns.md"]},{"name":"firebase-app-hosting-basics","description":"Deploys and manages full-stack web applications (Next.js, Angular) with Server-Side Rendering (SSR) using Firebase App Hosting. Use when deploying Next.js/Angular apps, configuring apphosting.yaml or firebase.json apphosting blocks, managing secrets, setting up GitHub CI/CD, or configuring Blaze bil","files":["SKILL.md","references/cli_commands.md","references/configuration.md","references/emulation.md"]},{"name":"firebase-app-platform","description":"Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting. Use when building mobile/web backends with managed services, real-time data sync, or serverless APIs.","files":["SKILL.md"]},{"name":"firebase-auth-basics","description":"Guide for setting up and using Firebase Authentication. Use this skill when the user's app requires user sign-in, user management, or secure data access using auth rules.","files":["SKILL.md","references/client_sdk_android.md","references/client_sdk_web.md","references/flutter_setup.md","references/ios_setup.md","references/security_rules.md"]},{"name":"firebase-crashlytics","description":"Comprehensive guide for Firebase Crashlytics, including provisioning and SDK usage. Use this skill when the user needs help setting up Crashlytics, adding crash reporting, or using the Crashlytics SDK in their application.","files":["SKILL.md","references/android_setup.md","references/ios_setup.md"]},{"name":"firebase-data-connect","description":"Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you need a relational data","files":["SKILL.md","examples.md","reference/cloud_functions.md","reference/config.md","reference/data_seeding.md","reference/native_sql.md","reference/operations.md","reference/realtime.md","reference/schema.md","reference/sdk_admin_node.md","reference/sdk_android.md","reference/sdk_flutter.md","reference/sdk_ios.md","reference/sdk_web.md","reference/search.md","reference/security.md","templates.md"]},{"name":"firebase-firestore","description":"Sets up, manages, queries, and configures Cloud Firestore databases (Standard/Enterprise edition), including data modeling, security rules, indexes, and SDK integrations (Web, Python, iOS, Android, Flutter). Use when creating/listing Firestore databases, defining data models/indexes, writing SDK que","files":["SKILL.md","references/enterprise/android_sdk_usage.md","references/enterprise/data_model.md","references/enterprise/flutter_setup.md","references/enterprise/indexes.md","references/enterprise/ios_setup.md","references/enterprise/provisioning.md","references/enterprise/python_sdk_usage.md","references/enterprise/web_sdk_usage.md","references/standard/android_sdk_usage.md","references/standard/flutter_setup.md","references/standard/indexes.md","references/standard/ios_setup.md","references/standard/provisioning.md","references/standard/web_sdk_usage.md"]},{"name":"firebase-hosting-basics","description":"Deploys and configures classic Firebase Hosting for static websites, single-page apps (SPAs), and microservices. Use when deploying static sites/SPAs, setting up custom domains, configuring firebase.json hosting settings (redirects, rewrites, headers, multi-site), or managing preview channels. Don't","files":["SKILL.md","references/configuration.md","references/deploying.md"]},{"name":"firebase-remote-config-basics","description":"Manages Firebase Remote Config templates, feature flags, loading strategies, and SDKs (Android, iOS). Use when downloading/deploying remoteconfig JSON templates, managing version history/feature flags, setting in-app defaults, fetchAndActivate(), real-time listeners, or SDK setup. Don't use for Fire","files":["SKILL.md","references/android_setup.md","references/ios_setup.md"]},{"name":"firebase-security-rules-auditor","description":"Audits Firebase (Firestore, Cloud Storage) security rules for vulnerabilities, privilege escalation, role bypasses, create vs update inconsistencies, resource exhaustion, type safety, size limits, and hasOnly ownership checks. Use when auditing/reviewing rules, running red-team rule assessments, or ","files":["SKILL.md"]},{"name":"fireberry-automation","description":"Automate Fireberry tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"firecrawl","description":"Any live-web task via the Firecrawl CLI — including ordinary web research: searching the web, reading or extracting pages, gathering sources, discovering site URLs, bulk extraction, downloading a site, change alerts, or pages needing clicks/login — web only; local files route to firecrawl-parse. For","files":["SKILL.md","rules/install.md","rules/security.md"]},{"name":"firecrawl-agent","description":"Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.","files":["SKILL.md"]},{"name":"firecrawl-alexandria","description":"Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.","files":["SKILL.md"]},{"name":"firecrawl-build","description":"Integrate Firecrawl into application code whenever a product, agent, or workflow needs web data inside the app — web search, live search results, page scraping, structured extraction, or browser interaction. Use when building any feature that needs data from the web in code, even if the user does no","files":["SKILL.md","references/auth-and-env.md","references/endpoint-selection.md","references/integration-patterns.md","references/project-intake.md","references/sdk-installation.md","references/verification.md"]},{"name":"firecrawl-build-interact","description":"Integrate Firecrawl `/interact` into product code for dynamic pages and browser actions after scraping. Use when a feature needs clicks, form fills, pagination, authentication-aware flows, or other multi-step interactions that plain `/scrape` cannot complete.","files":["SKILL.md"]},{"name":"firecrawl-build-onboarding","description":"Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill inc","files":["SKILL.md","references/auth-flow.md","references/project-setup.md","references/sdk-installation.md"]},{"name":"firecrawl-build-scrape","description":"Integrate Firecrawl `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.","files":["SKILL.md","references/freshness-and-liveness.md"]},{"name":"firecrawl-build-search","description":"Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.","files":["SKILL.md"]},{"name":"firecrawl-company-directories","description":"Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.","files":["SKILL.md"]},{"name":"firecrawl-competitive-intel","description":"Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.","files":["SKILL.md"]},{"name":"firecrawl-crawl","description":"Bulk-extract many pages from one site or section. Use for \"crawl\", \"everything under /docs\", or content spanning linked pages.","files":["SKILL.md"]},{"name":"firecrawl-dashboard-reporting","description":"Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.","files":["SKILL.md"]},{"name":"firecrawl-deep-research","description":"Produce an intensive, cited analytical report: executive summary, multi-angle\nfindings, contrarian views, open questions, and full sources. Use only when the\nuser needs rigorous synthesis of a complex topic (scientific, technical, policy,\nor market-analytical) that cannot be answered with a short se","files":["SKILL.md"]},{"name":"firecrawl-demo-walkthrough","description":"Walk through a product's key flows with Firecrawl browser and produce a structured UX/product walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.","files":["SKILL.md"]},{"name":"firecrawl-developer-index","description":"Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.","files":["SKILL.md"]},{"name":"firecrawl-download","description":"Save a site or section as local files (markdown, screenshots). Use for \"download the site\", offline docs, or a local copy for reference.","files":["SKILL.md"]},{"name":"firecrawl-interact","description":"Drive a live browser on a scraped page: click, fill forms, log in, paginate, infinite-scroll. Use when content requires interaction or a scrape failed or returned incomplete content.","files":["SKILL.md"]},{"name":"firecrawl-knowledge-base","description":"Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.","files":["SKILL.md"]},{"name":"firecrawl-knowledge-ingest","description":"Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.","files":["SKILL.md"]},{"name":"firecrawl-lead-gen","description":"Generate structured lead lists from prospect databases and web directories with Firecrawl browser. Use for finding prospects by role, company type, industry, stage, location, technologies, or other criteria and exporting CRM-ready JSON or CSV.","files":["SKILL.md"]},{"name":"firecrawl-lead-research","description":"Produce pre-meeting lead intelligence briefs with Firecrawl. Use when the user needs company research, person research, recent news, talking points, pain points, or outreach preparation before a sales call, partnership meeting, investor conversation, or customer interview.","files":["SKILL.md"]},{"name":"firecrawl-map","description":"Discover and list a site's URLs, with search filtering. Use for \"map the site\" or \"find the URL for\" requests — when the user knows the site but not the exact page, or wants site structure.","files":["SKILL.md"]},{"name":"firecrawl-market-research","description":"Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.","files":["SKILL.md"]},{"name":"firecrawl-monitor","description":"Alert by webhook/email on web changes — use for \"monitor/watch/track/alert me when\": recurring checks on known URLs (prefer over repeated one-off scrapes) or web-wide watches for new results (queries + goal).","files":["SKILL.md","goals.md","json-tracking.md"]},{"name":"firecrawl-parse","description":"Convert a local file (PDF, DOCX, XLSX, HTML, …) to markdown, or answer questions about its content. Use whenever the input is a file path, not a URL.","files":["SKILL.md"]},{"name":"firecrawl-qa","description":"QA test a live website with Firecrawl browser and scrape evidence. Use when the user wants exploratory QA, form testing, navigation/link checks, responsive checks, performance observations, bug reports, or a pre-launch quality review.","files":["SKILL.md"]},{"name":"firecrawl-research-index","description":"Find the papers that answer a research query in Firecrawl's research paper index — a corpus of paper abstracts whose largest share is biomedical and life-science literature (PubMed, bioRxiv, medRxiv), alongside arXiv preprints in CS, physics, and math — using semantic search, semantic and structural","files":["SKILL.md"]},{"name":"firecrawl-research-papers","description":"Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search, related-paper expansion, and in-body verification over Firecrawl's paper index — largely biomedical and life-science literature from PubMed, bioRxiv, ","files":["SKILL.md"]},{"name":"firecrawl-scrape","description":"Read a known webpage or execute a discovered workflow or data-provider capability. Use for page content or structured results once the URL or tool is selected.","files":["SKILL.md","references/large-results.md"]},{"name":"firecrawl-search","description":"Find web sources with query-relevant page excerpts and optional full-page content, and discover workflows, data APIs, and indexes. Use for web research or finding structured records, listings, transcripts, and datasets. Supports semantic tool discovery, domain matching, and progressive catalogue bro","files":["SKILL.md"]},{"name":"firecrawl-seo-audit","description":"Audit a website's SEO with Firecrawl. Use when the user asks for an SEO audit, metadata and heading review, sitemap/site-structure analysis, keyword opportunities, competitor SERP comparison, or prioritized search optimization recommendations.","files":["SKILL.md"]},{"name":"firecrawl-shop","description":"Research products across the web with Firecrawl and produce a shopping recommendation or cart-ready summary. Use when the user wants to compare products, find the best option, evaluate reviews, respect budget/preferences, or shop with a saved browser session.","files":["SKILL.md"]},{"name":"firecrawl-website-design-clone","description":"Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that desi","files":["SKILL.md"]},{"name":"firecrawl-workflows","description":"Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a ","files":["SKILL.md","references/workflow-authoring.md"]},{"name":"fireflies-automation","description":"Automate Fireflies tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"firestore-rules-creation","description":"Designs, authors, refactors, and hardens production-grade Cloud Firestore Security Rules (firestore.rules). IMPORTANT: If subagent delegation AND the firestore-rules-author subagent are available in your environment, delegate authoring firestore.rules to the firestore-rules-author subagent. If subag","files":["SKILL.md"]},{"name":"firmao-automation","description":"Automate Firmao tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"first-ask","description":"Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.","files":["SKILL.md"]},{"name":"fitbit-automation","description":"Automate Fitbit tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fixer-automation","description":"Automate Fixer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fixer-io-automation","description":"Automate Fixer IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fleet-management","description":"Manage a fleet of Grafana Alloy collectors with Fleet Management — author Alloy pipelines once, target them via attribute matchers (`env=\"production\"`, regex `region=~\"us-.*\"`), push remotely via OpAMP without restarting collectors. Covers pipeline create / update / matcher RPCs, collector attribute","files":["SKILL.md","references/api.md","references/bootstrap.md"]},{"name":"flexisign-automation","description":"Automate Flexisign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"flowio","description":"Reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO. Use for low-level FCS metadata and channel inspection, NumPy event extraction, multi-dataset files, table export, and FCS 3.1 creation; use FlowKit for compensation, cytometry transforms, gating, or FlowJo","files":["SKILL.md","references/api_reference.md","references/fcs_semantics.md","references/sources.md","references/troubleshooting.md","references/workflows.md","scripts/inspect_fcs.py"]},{"name":"flowiseai-automation","description":"Automate Flowiseai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"flowkit","description":"Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a Fl","files":["SKILL.md","references/compensation-and-gating.md","references/workspaces-and-results.md","scripts/analyze_gates.py"]},{"name":"flowstudio-power-automate-build","description":"Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, sc","files":["SKILL.md","references/action-patterns-connectors.md","references/action-patterns-core.md","references/action-patterns-data.md","references/build-patterns.md","references/flow-schema.md","references/trigger-types.md"]},{"name":"flowstudio-power-automate-debug","description":"Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flo","files":["SKILL.md","references/common-errors.md","references/debug-workflow.md"]},{"name":"flowstudio-power-automate-governance","description":"Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores — all without Dataverse or the CoE St","files":["SKILL.md"]},{"name":"flowstudio-power-automate-mcp","description":"Foundation skill for Power Automate via FlowStudio MCP — auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` / `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flows","files":["SKILL.md","references/MCP-BOOTSTRAP.md","references/action-types.md","references/connection-references.md","references/tool-reference.md"]},{"name":"flowstudio-power-automate-monitoring","description":"Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-ca","files":["SKILL.md"]},{"name":"fluentui-blazor","description":"Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentData","files":["SKILL.md","references/DATAGRID.md","references/LAYOUT-AND-NAVIGATION.md","references/SETUP.md","references/THEMING.md"]},{"name":"fluidsim","description":"Plans, configures, inspects, restarts, and analyzes bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.","files":["SKILL.md","references/advanced_features.md","references/installation.md","references/output_analysis.md","references/parameters.md","references/simulation_workflow.md","references/solvers.md","scripts/__init__.py","scripts/_common.py","scripts/_profiles.py","scripts/_schema.py","scripts/budget_summary.py","scripts/grid_resource_estimator.py","scripts/output_inventory.py","scripts/restart_compatibility.py","scripts/simulation_dry_run.py","scripts/solver_config_validator.py"]},{"name":"flutter-add-integration-test","description":"Configures Flutter Driver for app interaction and converts MCP actions into permanent integration tests. Use when adding integration testing to a project, exploring UI components via MCP, or automating user flows with the integration_test package.","files":["SKILL.md"]},{"name":"flutter-add-widget-preview","description":"Adds interactive widget previews to the project using the previews.dart system. Use when creating new UI components or updating existing screens to ensure consistent design and interactive testing.","files":["SKILL.md"]},{"name":"flutter-add-widget-test","description":"Implement a component-level test using `WidgetTester` to verify UI rendering and user interactions (tapping, scrolling, entering text). Use when validating that a specific widget displays correct data and responds to events as expected.","files":["SKILL.md"]},{"name":"flutter-apply-architecture-best-practices","description":"Architects a Flutter application using the recommended layered approach (UI, Logic, Data). Use when structuring a new project or refactoring for scalability.","files":["SKILL.md"]},{"name":"flutter-auto-route-navigation","description":"Implement typed routing, nested routes, and auth guards using auto_route in Flutter. Use when the task explicitly uses auto_route or its generated router; defer generic deep-link setup and other routing libraries.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/implementation.md","references/router-config.md"]},{"name":"flutter-bloc-state-management","description":"Implement BLoC/Cubit state, events, transitions, and async concurrency in Flutter. Use for BLoC/Cubit feature logic, debounced/cancellable events, state rendering, or bloc tests—not generic widget-only work.","files":["SKILL.md","evals/evals.json","references/bloc_templates.md"]},{"name":"flutter-build-responsive-layout","description":"Use `LayoutBuilder`, `MediaQuery`, or `Expanded/Flexible` to create a layout that adapts to different screen sizes. Use when you need the UI to look good on both mobile and tablet/desktop form factors.","files":["SKILL.md"]},{"name":"flutter-cicd","description":"Set up CI/CD pipelines for Flutter apps. Use when configuring automated testing, build, or deployment workflows with GitHub Actions or Fastlane.","files":["SKILL.md","evals/evals.json","references/advanced-workflow.md","references/fastlane.md","references/github-actions.md"]},{"name":"flutter-concurrency","description":"Execute long-running tasks in background isolates to keep the UI responsive. Use when performing heavy computations, parsing large datasets, or choosing between async/await and isolates.","files":["SKILL.md","evals/evals.json","references/isolate-examples.md"]},{"name":"flutter-dart-code-review","description":"Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture. Use when reviewing Flutter or Dart code, whatever state management","files":["SKILL.md"]},{"name":"flutter-dependency-injection","description":"Configure service locator setup using injectable and get_it in Flutter. Use when wiring dependency injection with get_it or injectable.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/implementation.md","references/modules.md"]},{"name":"flutter-design-system","description":"Enforce Design Language System adherence in Flutter. Use when implementing design tokens, preventing hardcoded colors/spacing, or building a DLS.","files":["SKILL.md","evals/evals.json","references/dls-modular-pattern.md","references/monolithic-pattern.md","references/usage.md"]},{"name":"flutter-error-handling","description":"Implement functional repository error recovery with Either/Failure patterns in Flutter. Use when handling exceptions or dartz Either types in data flows; defer UI-only retry buttons.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/error-mapping.md","references/implementation.md"]},{"name":"flutter-expert","description":"Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.","files":["SKILL.md","references/bloc-state.md","references/gorouter-navigation.md","references/performance.md","references/project-structure.md","references/riverpod-state.md","references/widget-patterns.md"]},{"name":"flutter-feature-based-clean-architecture","description":"Organize Flutter apps with modular feature-based clean architecture. Use when creating features under lib/features/ with domain, data, and presentation layers. Do not use for test-only, BlocBuilder, navigation, or spinner requests.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/folder-structure.md","references/implementation.md"]},{"name":"flutter-fix-layout-issues","description":"Fixes Flutter layout errors (overflows, unbounded constraints) using Dart and Flutter MCP tools. Use when addressing \"RenderFlex overflowed\", \"Vertical viewport was given unbounded height\", or similar layout issues.","files":["SKILL.md"]},{"name":"flutter-getx-navigation","description":"Implement context-less navigation, named routes, and middleware using GetX. Use when building navigation with GetX routing in Flutter.","files":["SKILL.md","evals/evals.json","references/app-pages.md","references/middleware-example.md"]},{"name":"flutter-getx-state-management","description":"Implement reactive state with GetX controllers, bindings, and observables in Flutter. Use when managing app state with GetxController, Obx, GetBuilder, or dependency lifecycle—not unit tests for existing controllers.","files":["SKILL.md","evals/evals.json","references/controller-example.md"]},{"name":"flutter-go-router-navigation","description":"Implement typed routes, redirection, and guards using go_router in Flutter. Use when changing go_router navigation; defer widget tests that merely assert redirect behavior and defer slide/transition animation work.","files":["SKILL.md","evals/evals.json","references/typed-routes.md"]},{"name":"flutter-idiomatic-flutter","description":"Compose modern Flutter layouts and widgets idiomatically. Use for widget trees, layout constraints, mounted safety, and UI composition—not BLoC state management, routing, dependency injection, or tests.","files":["SKILL.md","evals/evals.json"]},{"name":"flutter-implement-json-serialization","description":"Create model classes with `fromJson` and `toJson` methods using `dart:convert`. Use when manually mapping JSON keys to class properties for simple data structures.","files":["SKILL.md"]},{"name":"flutter-layer-based-clean-architecture","description":"Enforce inward dependency flow, pure domain layers, and DTO-to-entity mapping in Flutter DDD architecture. Use when structuring layers or boundaries; defer navigation-only routing and feature implementation such as notifications.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/repository-mapping.md"]},{"name":"flutter-localization","description":"Add Flutter translation assets, locale initialization, localized strings, locale switching, and plurals with easy_localization and CSV or JSON files. Use for Flutter i18n work; not RTL-only layout or locale-specific date formatting.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/implementation.md","references/sheet-loader.md"]},{"name":"flutter-navigation","description":"Implement route configuration, go_router/deep linking, and named routes in Flutter. Use for route declarations, route guards, and URL-to-screen mapping; defer transition-only animation, state-transfer/BLoC questions, auto_route-specific setup, and generic app-bar controls.","files":["SKILL.md","evals/evals.json","references/implementation.md","references/routing-patterns.md"]},{"name":"flutter-notifications","description":"Integrate push and local notifications using FCM and flutter_local_notifications in Flutter. Use for notification delivery or presentation; defer badge-only UI and notification-service tests.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"flutter-performance","description":"Optimize Flutter widget rebuilds, memory usage, rendering, and scrolling performance. Use when diagnosing jank, reducing rebuilds, or improving list performance—not performance tests, monitoring setup, or API optimization.","files":["SKILL.md","evals/evals.json"]},{"name":"flutter-retrofit-networking","description":"Build type-safe HTTP networking with Dio and Retrofit including auth interceptors in Flutter. Use when integrating REST APIs with Dio or Retrofit.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/implementation.md","references/token-refresh.md"]},{"name":"flutter-riverpod-state-management","description":"Implement reactive state management using Riverpod 3.x with code generation in Flutter. Use when defining providers, building AsyncNotifiers, or overriding providers in tests.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"flutter-security","description":"Secure Flutter token/PII storage, build-time secrets, network trust, and release hardening using OWASP Mobile practices. Use for secure storage, secret injection, certificate pinning, jailbreak/root risk, or release builds—not generic form validation, API error handling, auth-provider setup, or test","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/implementation.md","references/network-security.md"]},{"name":"flutter-setup-declarative-routing","description":"Configure `MaterialApp.router` using a package like `go_router` for advanced URL-based navigation. Use when developing web applications or mobile apps that require specific deep linking and browser history support.","files":["SKILL.md"]},{"name":"flutter-setup-localization","description":"Add `flutter_localizations` and `intl` dependencies, enable \"generate true\" in `pubspec.yaml`, and create an `l10n.yaml` configuration file. Use when initializing localization support for a new Flutter project.","files":["SKILL.md"]},{"name":"flutter-testing","description":"Write unit, widget, and integration tests with robot patterns, widget keys, and Patrol in Flutter. Use when implementing test behavior; defer CI-only configuration without test changes.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/bloc-testing.md","references/integration-testing.md","references/mocking_standards.md","references/robot-pattern.md","references/test-organization.md","references/unit-testing.md","references/widget-keys.md","references/widget-testing.md"]},{"name":"flutter-testing-skill","description":"Generates Flutter widget tests, integration tests, and golden tests in Dart. Supports local execution and TestMu AI cloud for real device testing. Use when user mentions \"Flutter\", \"widget test\", \"WidgetTester\", \"testWidgets\", \"flutter_test\", \"integration_test\". Triggers on: \"Flutter\", \"widget test\"","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"flutter-use-http-package","description":"Use the `http` package to execute GET, POST, PUT, or DELETE requests. Use when you need to fetch from or send data to a REST API.","files":["SKILL.md"]},{"name":"flutter-widgets","description":"Build maintainable Flutter UI components with composition and theming. Use when changing widget implementation; defer animation-only changes and widget-test authoring.","files":["SKILL.md","evals/evals.json"]},{"name":"flutterwave-automation","description":"Automate Flutterwave tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fluxguard-automation","description":"Automate Fluxguard tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"folder-structure-blueprint-generator","description":"Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension te","files":["SKILL.md"]},{"name":"folk-automation","description":"Automate Folk tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"folklore-variant-evidence","description":"Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deter","files":["SKILL.md","references/mcp-contract.md"]},{"name":"fomo-automation","description":"Automate Fomo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"forcemanager-automation","description":"Automate Forcemanager tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"forge-app-review","description":"Performs a lightweight pre-release readiness review of Atlassian Forge apps across manifest/module wiring, architecture, runtime compatibility, dependency posture, tests, deploy readiness, and obvious security, cost, or reliability smells. Use when the user asks \"review my Forge app\", \"pre-deploy ch","files":["SKILL.md","README.md","modules/connector-review.md"]},{"name":"forge-connector","description":"Guides building and deploying Atlassian Forge Teamwork Graph connector apps that ingest external data into Atlassian's Teamwork Graph, making it searchable in Rovo Search and surfaced in Rovo Chat. Use when the user wants to build a Forge connector, ingest external data into Atlassian, connect a thi","files":["SKILL.md","README.md","scripts/__init__.py","scripts/forge_env.py","scripts/scaffold_connector.py","tests/__init__.py","tests/test_forge_env.py","tests/test_scaffold_connector.py"]},{"name":"forge-cost-optimizer","description":"Optimizes Atlassian Forge apps to reduce platform consumption and avoid unnecessary costs using Atlassian's \"Optimise Forge platform costs\" guidance. Use when the user asks to optimize Forge app costs, reduce Forge invocations, lower GB-seconds, reduce storage or log usage, tune memory, replace poll","files":["SKILL.md","README.md"]},{"name":"forge-onboarding","description":"Guide a first-time Forge builder through deploying a stock Rovo Agent, then turning it into Forge Guru, a documentation companion. Use for Forge onboarding, a first Forge or Rovo app, or resuming this tutorial. Route unrelated existing-app changes, debugging, reviews, and connector work to the speci","files":["SKILL.md","README.md","assets/forge-guru/index.js","references/environment-and-scaffold.md","references/loop-1-hello-world.md","references/loop-2-forge-guru.md","references/mental-model.md","references/next-steps.md","references/platform-contract.md","references/recovery.md","references/setup.md"]},{"name":"forge-security-review","description":"Performs a white-box security review of Atlassian Forge apps using structured, Forge-specific security rules and evidence-driven reporting. Use when the user asks for a Forge security review, security audit, vuln assessment, pentest-style code review, authz review, tenant isolation analysis, web tri","files":["SKILL.md","README.md","scripts/run_static_analysis.ps1","scripts/run_static_analysis.sh"]},{"name":"formbricks-automation","description":"Automate Formbricks tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"formcarry-automation","description":"Automate Formcarry tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"formdesk-automation","description":"Automate Formdesk tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"formsite-automation","description":"Automate Formsite tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"foundation-models-on-device","description":"Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+. Use when adding on-device LLM features with Apple FoundationModels on iOS 26+.","files":["SKILL.md"]},{"name":"foundationpose-pipeline","description":"Adapt BOP datasets, run the FoundationPose perception pipeline with TAO depth, and evaluate or re-score pose results. Use for dataset runs and result comparisons; environment installation belongs to foundationpose-setup.","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/config.yml","evals/evals.json","evals/files/baseline.json","evals/files/candidate.json","skill-card.md"]},{"name":"foundationpose-setup","description":"Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. Use for SAM3/TAO dependency conflicts, CUDA library failures, and depth-engine shape or precision decisions.","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/config.yml","evals/evals.json","references/engine.md","references/installation.md","skill-card.md"]},{"name":"foundry-agent-sync","description":"Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the","files":["SKILL.md"]},{"name":"foundry-hosted-agent-copilotkit","description":"Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted agent, connected over the AG-UI protocol. Covers choosing the wiring, using Foundry-native primitives instead of hand-rolled plumbing, agent tools, hum","files":["SKILL.md","references/hitl.md","references/troubleshooting.md","references/wiring.md"]},{"name":"foursquare-automation","description":"Automate Foursquare tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fp-check","description":"Systematically verifies suspected security bugs to eliminate false positives, producing a TRUE POSITIVE or FALSE POSITIVE verdict with documented evidence for each. Use when asked whether a specific finding is real, exploitable, or a false positive, or to verify or validate a suspected vulnerability","files":["SKILL.md","agents/openai.yaml","references/bug-class-verification.md","references/deep-verification.md","references/evidence-templates.md","references/false-positive-patterns.md","references/gate-reviews.md","references/standard-verification.md"]},{"name":"fraudlabs-pro-automation","description":"Automate Fraudlabs Pro tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"freecad-scripts","description":"Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics,","files":["SKILL.md","references/geometry-and-shapes.md","references/gui-and-interface.md","references/parametric-objects.md","references/scripting-fundamentals.md","references/workbenches-and-advanced.md"]},{"name":"freeze","description":"Restrict file edits to a specific directory for the session. (gstack)","files":["SKILL.md","bin/check-freeze.sh","bin/freeze-state.sh"]},{"name":"from-the-other-side-anitta","description":"Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.","files":["SKILL.md"]},{"name":"from-the-other-side-quinn","description":"Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.","files":["SKILL.md"]},{"name":"from-the-other-side-vega","description":"Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative","files":["SKILL.md"]},{"name":"from-the-other-side-wiggins","description":"Narrative and synthesis profile for Wiggins: framing, explanation, and audience-aware communication patterns for Ember sessions.","files":["SKILL.md"]},{"name":"front-automation","description":"Automate Front tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"frontend-a11y","description":"Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building or reviewing forms, modals, dropdowns, tooltips, or tabs, fixing a11y lint or code-review findings, or wiring up keyboard ","files":["SKILL.md"]},{"name":"frontend-design","description":"Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.","files":["SKILL.md","LICENSE.txt"]},{"name":"frontend-design-direction","description":"Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment.","files":["SKILL.md","scripts/check-evidence.js"]},{"name":"frontend-design-review","description":"Review and create distinctive, production-grade frontend interfaces with high design quality and design system compliance. Evaluates using three pillars: frictionless insight-to-action, quality craft, and trustworthy building. USE FOR: PR reviews, design reviews, accessibility audits, design system ","files":["SKILL.md","references/pattern-examples.md","references/quick-checklist.md","references/review-output-format.md","references/review-type-modifiers.md"]},{"name":"frontend-patterns","description":"Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices. Use when building or reviewing React or Next.js components, state, or render performance.","files":["SKILL.md"]},{"name":"frontend-session-rca","description":"Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetche","files":["SKILL.md","references/dump-format.md","references/grafana-links.md","references/signal-catalog.md"]},{"name":"frontend-slides","description":"Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstra","files":["SKILL.md","STYLE_PRESETS.md","animation-patterns.md","html-template.md","scripts/export-pdf.sh","scripts/extract-pptx.py"]},{"name":"frontend-ui-dark-ts","description":"Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations. Use when creating dashboards, admin panels, or data-rich interfaces with a refined dark aesthetic.","files":["SKILL.md","references/components.md","references/design-tokens.md","references/patterns.md"]},{"name":"frontend-ui-engineering","description":"Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-gene","files":["SKILL.md"]},{"name":"fsharp-testing","description":"F# testing patterns with xUnit, FsUnit, Unquote, FsCheck property-based testing, integration tests, and test organization best practices. Use when writing F# tests with xUnit, FsUnit, Unquote, or FsCheck.","files":["SKILL.md"]},{"name":"fullenrich-automation","description":"Automate Fullenrich tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"fullstack-guardian","description":"Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when","files":["SKILL.md","references/api-design-standards.md","references/architecture-decisions.md","references/backend-patterns.md","references/common-patterns.md","references/deliverables-checklist.md","references/design-template.md","references/error-handling.md","references/frontend-patterns.md","references/integration-patterns.md","references/security-checklist.md"]},{"name":"fuzzing-dictionary","description":"Builds and applies fuzzing dictionaries so a fuzzer can produce the keywords, magic bytes, and tokens a target expects. Covers extracting tokens from source, headers, binaries, and specifications, dictionary syntax, and wiring one into libFuzzer or AFL++. Use when fuzzing a parser, protocol, or file","files":["SKILL.md","agents/openai.yaml"]},{"name":"fuzzing-obstacles","description":"Patches past the barriers that stop a fuzzer making progress — checksum and hash verification, magic-value validation, time-based seeds, and other non-deterministic global state. Covers locating the blocking check, neutering it behind a fuzzing build flag, and avoiding the false positives a patch ca","files":["SKILL.md","agents/openai.yaml"]},{"name":"g-assist-mcp-skill","description":"Use this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance.","files":["SKILL.md","BENCHMARK.md","evals/EVAL.md","evals/evals-hardware.json","evals/evals.json","skill-card.md"]},{"name":"gagelist-automation","description":"Automate Gagelist tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"game-developer","description":"Use when building game systems, implementing Unity/Unreal Engine features, or optimizing game performance. Invoke to implement ECS architecture, configure physics systems and colliders, set up multiplayer networking with lag compensation, optimize frame rates to 60+ FPS targets, develop shaders, or ","files":["SKILL.md","references/ecs-patterns.md","references/multiplayer-networking.md","references/performance-optimization.md","references/unity-patterns.md","references/unreal-cpp.md"]},{"name":"game-engine","description":"Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers te","files":["SKILL.md","assets/2d-maze-game.md","assets/2d-platform-game.md","assets/gameBase-template-repo.md","assets/paddle-game-template.md","assets/simple-2d-engine.md","references/3d-web-games.md","references/algorithms.md","references/basics.md","references/game-control-mechanisms.md","references/game-engine-core-principles.md","references/game-publishing.md","references/techniques.md","references/terminology.md","references/web-apis.md"]},{"name":"gamma-automation","description":"Automate Gamma tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gan-ai-automation","description":"Automate Gan AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gan-style-harness","description":"GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar.","files":["SKILL.md"]},{"name":"gatherup-automation","description":"Automate Gatherup tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gcloud","description":"Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions ","files":["SKILL.md","references/cli-usage.md","references/mcp-usage.md"]},{"name":"gcp-audit-logs","description":"Configure GCP Cloud Audit Logs for compliance. Set up log routing and BigQuery analysis. Use when auditing GCP activity.","files":["SKILL.md"]},{"name":"gcp-cloud-functions","description":"Deploy serverless functions on Google Cloud Functions. Configure triggers and manage deployments. Use when implementing serverless workloads on GCP.","files":["SKILL.md"]},{"name":"gcp-cloud-sql","description":"Provision Cloud SQL and Spanner databases. Configure high availability, backups, and security. Use when deploying managed databases on GCP.","files":["SKILL.md"]},{"name":"gcp-compute","description":"Manage Compute Engine instances and instance templates. Configure managed instance groups and preemptible VMs. Use when deploying compute resources on GCP.","files":["SKILL.md"]},{"name":"gcp-gke","description":"Deploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.","files":["SKILL.md"]},{"name":"gcp-networking","description":"Configure VPCs, firewall rules, and Cloud NAT. Implement shared VPC and private service connect. Use when designing GCP network infrastructure.","files":["SKILL.md"]},{"name":"gcp-secret-manager","description":"Secure secrets in Google Cloud Secret Manager. Configure IAM policies, integrate with GKE, and manage secret versions. Use when managing secrets in GCP environments.","files":["SKILL.md"]},{"name":"gdpr-compliance","description":"Implement GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.","files":["SKILL.md"]},{"name":"gdpr-compliant","description":"Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests f","files":["SKILL.md","references/Security.md","references/data-rights.md"]},{"name":"gdpr-data-handling","description":"Implement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal data, implementing privacy controls, or conducting GDPR compliance reviews.","files":["SKILL.md","references/details.md"]},{"name":"gem-devops-guidelines","description":"Design or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows. Use for DevOps, platform, container, pipeline, or release tasks.","files":["SKILL.md"]},{"name":"gemini-agents-api","description":"Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.","files":["SKILL.md"]},{"name":"gemini-api","description":"Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inpu","files":["SKILL.md","references/advanced_features.md","references/bounding_box.md","references/embeddings.md","references/live_api.md","references/media_generation.md","references/model_tuning.md","references/safety.md","references/structured_and_tools.md","references/text_and_multimodal.md"]},{"name":"gemini-api-dev","description":"Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output","files":["SKILL.md","references/migration.md"]},{"name":"gemini-automation","description":"Automate Gemini tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gemini-interactions-api","description":"Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.","files":["SKILL.md","references/data_model.md","references/rest_api.md"]},{"name":"gemini-live-api-dev","description":"Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynch","files":["SKILL.md","references/migration.md"]},{"name":"gemini-omni-flash-api","description":"Use this skill for generative video editing, text-to-video, image-referenced video generation, first-frame-to-video, first-and-last-frame transitions, and video extensions using Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) via the official google-genai SDK. Includes workflows for pre-processing/opt","files":["SKILL.md","scripts/upload_file.py","scripts/video/generate_video.py","scripts/video/inspect_video.py","scripts/video/prep_video.py"]},{"name":"gen-specs-as-issues","description":"This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.","files":["SKILL.md"]},{"name":"gender-api-automation","description":"Automate Gender API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"genderapi-io-automation","description":"Automate Genderapi IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"genderize-automation","description":"Automate Genderize tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"generate-custom-instructions-from-codebase","description":"Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upg","files":["SKILL.md"]},{"name":"generate-image","description":"Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.","files":["SKILL.md"]},{"name":"generate-project-plan","description":"Generate a FigJam project plan board from a PRD plus codebase context. Interactive flow: research → propose sections → per-section deep research → per-section content + block-shape proposal → create FigJam → skeleton → fill → diagrams → wrap. Each content block (section, nested section, intro callou","files":["SKILL.md","references/blocks/diagram-section.md","references/blocks/intro-callout.md","references/blocks/metadata-strip.md","references/blocks/multi-column-text.md","references/blocks/nested-section.md","references/blocks/section.md","references/blocks/sticky-column.md","references/blocks/table.md","references/blocks/text-primitives.md","references/foundation/codebase-grounding.md","references/foundation/layout.md","references/foundation/palette.md","references/foundation/plugin-api-traps.md","references/section-catalog.md"]},{"name":"generating-python-installer","description":"Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conve","files":["SKILL.md"]},{"name":"geniml","description":"Supports audited local Geniml genomic-interval workflows: validate BED and universe contracts, plan Region2Vec or scEmbed runs, inspect model/tokenizer compatibility, and assess consensus universes.","files":["SKILL.md","references/bedspace.md","references/consensus_peaks.md","references/region2vec.md","references/scembed.md","references/utilities.md","scripts/__init__.py","scripts/_common.py","scripts/bed_validator.py","scripts/consensus_plan.py","scripts/corpus_auditor.py","scripts/embedding_plan.py","scripts/model_artifact_inspector.py","scripts/tokenizer_compatibility.py"]},{"name":"genmedia-workflow","description":"Design and execute multi-step media workflows with genmedia. Use this for pipelines that combine planning, generation, editing, image or video utilities, audio, subtitles, batching, and final delivery manifests.","files":["SKILL.md","references/node-rules.md","references/pipeline-patterns.md","references/recipes.md","references/utility-endpoints.md"]},{"name":"genmol-nim","description":"Generate novel drug-like molecules using the GenMol NIM microservice. Use for de novo generation, scaffold decoration, motif extension, lead optimization, SAFE notation, QED or LogP ranking, hosted NVIDIA API calls, or local Docker deployment. GenMol takes SAFE notation in the smiles field, not ordi","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yml","evals/config.yml","evals/evals.json","evals/trigger_evals.json","references/api.md","references/examples.md","references/parameters.md","references/science.md","references/validation.md","skill-card.md"]},{"name":"genomic-coordinates","description":"Converts genomic intervals between coordinate conventions, normalises and compares variant representations, and detects assembly or contig-naming mismatches before they corrupt an analysis. Used whenever coordinates cross a format, tool, or assembly boundary - converting between BED, GFF/GTF, VCF, S","files":["SKILL.md","references/format-conventions.md","references/reference-builds.md","references/transcript-coordinates.md","references/variant-representation.md","scripts/_common.py","scripts/audit_intervals.py","scripts/check_contigs.py","scripts/convert_coords.py","scripts/normalize_variant.py"]},{"name":"genomic-intelligence","description":"Predicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/accepto","files":["SKILL.md","references/api-and-auth.md","references/mcp.md","references/review.md","references/sequence-acquisition.md","references/tasks.md"]},{"name":"geoapify-automation","description":"Automate Geoapify tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"geocodio-automation","description":"Automate Geocodio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"geokeo-automation","description":"Automate Geokeo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"geomaster","description":"Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geos","files":["SKILL.md","README.md","references/advanced-gis.md","references/big-data.md","references/code-examples.md","references/coordinate-systems.md","references/core-libraries.md","references/data-sources.md","references/gis-software.md","references/industry-applications.md","references/machine-learning.md","references/programming-languages.md","references/remote-sensing.md","references/review.md","references/scientific-domains.md","references/specialized-topics.md","references/troubleshooting.md","scripts/raster_workflows.py"]},{"name":"geopandas","description":"Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.","files":["SKILL.md","references/crs-management.md","references/data-io.md","references/data-structures.md","references/geometric-operations.md","references/spatial-analysis.md","references/visualization.md","scripts/_common.py","scripts/crs_reprojection_plan.py","scripts/export_plan.py","scripts/geometry_validity_report.py","scripts/sensitive_coordinates_checklist.py","scripts/spatial_join_audit.py","scripts/vector_inventory.py"]},{"name":"get-available-resources","description":"Detects host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assumin","files":["SKILL.md","references/resource_semantics.md","references/snapshot_schema.md","references/sources.md","scripts/_common.py","scripts/accelerator_diagnostics.py","scripts/detect_resources.py","scripts/plan_workload.py","scripts/snapshot_tools.py"]},{"name":"getform-automation","description":"Automate Getform tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gget","description":"Queries 20+ bioinformatics resources through CLI/Python. Supports quick lookups of gene info, BLAST/BLAT, viral sequence downloads, PDB/mmCIF structures, G2P residue annotations, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive ex","files":["SKILL.md","references/common_workflows.md","references/database_info.md","references/module_catalog.md","references/module_reference.md","references/workflows.md","scripts/batch_sequence_analysis.py","scripts/enrichment_pipeline.py","scripts/gene_analysis.py"]},{"name":"gh-address-comments","description":"Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","scripts/fetch_comments.py"]},{"name":"gh-attach","description":"Uploads a local file (screenshot, image, PDF, zip, video) to GitHub user-attachments, downloads GitHub user-attachments, and embeds local files in a PR, issue, or comment. Use when asked to \"attach a screenshot to the PR\", \"add an image to the issue\", \"embed before/after screenshots\", \"attach this f","files":["SKILL.md"]},{"name":"gh-cli","description":"Enforces authenticated gh CLI workflows over unauthenticated curl, WebFetch, and MCP fetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.","files":["SKILL.md","agents/openai.yaml"]},{"name":"gh-fix-ci","description":"Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","scripts/inspect_pr_checks.py"]},{"name":"gh-review-requests","description":"Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member. Use when asked to \"find PRs I need to review\", \"show my review requests\", \"what needs my review\", \"fetch GitHub review requests\", or \"check team review queue\".","files":["SKILL.md","scripts/fetch_review_requests.py"]},{"name":"gift-up-automation","description":"Automate Gift Up tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gigasheet-automation","description":"Automate Gigasheet tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ginkgo-cloud-lab","description":"Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR ","files":["SKILL.md","references/cell-free-protein-expression-hibit.md","references/cell-free-protein-expression-optimization.md","references/cell-free-protein-expression-validation.md","references/cfps-expression-purification-quantification.md","references/cfps-strep-purification-thermal-shift.md","references/cfps-strep-tag-purification-a280.md","references/echo-ms-cfps-detection.md","references/echo-ms-method-onboarding.md","references/ecoli-expression-purification-quantification.md","references/ecoli-minibinder-expression-histag-a280.md","references/ecoli-protein-expression-hibit.md","references/ecoli-protein-expression-histag-a280.md","references/fluorescent-pixel-art-generation.md","references/ivt-rna-synthesis-qpcr.md","references/minibinder-strep-tag-a280.md","references/pichia-protein-expression-labchip.md","references/plate-reader-assay-onboarding.md","references/spr-target-onboarding.md"]},{"name":"giphy-automation","description":"Automate Giphy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gist-automation","description":"Automate Gist tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"git-commit","description":"Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions \"/commit\". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff","files":["SKILL.md"]},{"name":"git-flow-branch-creator","description":"Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.","files":["SKILL.md"]},{"name":"git-workflow","description":"Implement Git branching strategies, PR workflows, and release management patterns. Configure GitFlow, trunk-based development, or GitHub Flow for team collaboration. Use when establishing version control workflows or improving development team collaboration.","files":["SKILL.md"]},{"name":"github","description":"Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like ch","files":["SKILL.md","agents/openai.yaml"]},{"name":"github-actions","description":"Build, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery. Use when working with GitHub repositories, automating builds, running tests, or deploying applications.","files":["SKILL.md","references/workflow-patterns.md"]},{"name":"github-actions-efficiency","description":"Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.","files":["SKILL.md","references/actions.md","references/patterns.md","references/reporting.md","references/review-rubric.md"]},{"name":"github-actions-hardening","description":"Security hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped to","files":["SKILL.md","references/injection.md","references/permissions-and-tokens.md","references/report-format.md","references/supply-chain.md","references/triggers-and-privilege.md"]},{"name":"github-actions-runtime-upgrade-conventions","description":"Upgrade GitHub Actions to supported runtimes by selecting safe action versions, preserving workflow behavior, and validating post-upgrade execution.","files":["SKILL.md"]},{"name":"github-actions-templates","description":"Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.","files":["SKILL.md"]},{"name":"github-codespaces-efficiency","description":"Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.","files":["SKILL.md","references/codespaces.md","references/review-rubric.md"]},{"name":"github-copilot-starter","description":"Set up complete GitHub Copilot configuration for a new project based on technology stack","files":["SKILL.md"]},{"name":"github-issue-creator","description":"Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.","files":["SKILL.md"]},{"name":"github-issues","description":"Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, manage repository labels, set issue fields (dates, priority, custom fields), set issue types, man","files":["SKILL.md","references/dependencies.md","references/images.md","references/issue-fields.md","references/issue-types.md","references/labels.md","references/milestones.md","references/projects.md","references/search.md","references/sub-issues.md","references/templates.md"]},{"name":"github-release","description":"Guides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.","files":["SKILL.md","references/commit-classification.md","references/semver-rules.md"]},{"name":"github-triage","description":"Triages a repository's open GitHub issues and pull requests via the gh CLI. Optionally reviews and merges ready PRs — incrementally merging passing automated/bot PRs and maintainer-approved ones, and spawning review subagents for never-reviewed ones — then closes already-resolved issues with comment","files":["SKILL.md","agents/openai.yaml","references/reviewing-prs.md"]},{"name":"gitlab-ci-patterns","description":"Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.","files":["SKILL.md"]},{"name":"gitmoji","description":"Generates commit messages following the gitmoji convention (https://gitmoji.dev) — picks the right emoji for the intent of the change and writes a well-formed message. Use when asked to \"write a gitmoji commit\", \"add an emoji to my commit message\", \"which gitmoji should I use\", \"gitmoji this change\"","files":["SKILL.md","references/gitmoji-reference.md"]},{"name":"gitops-workflow","description":"Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.","files":["SKILL.md","references/argocd-setup.md","references/sync-policies.md"]},{"name":"givebutter-automation","description":"Automate Givebutter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gke-ai-troubleshooting-handle-disruption-gpu-tpu","description":"Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL ","files":["SKILL.md"]},{"name":"gke-ai-troubleshooting-jobset-interruption","description":"Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workl","files":["SKILL.md","references/failure_signatures.md","scripts/validate_queries.sh"]},{"name":"gke-ai-troubleshooting-node-unresponsive-timeout","description":"Diagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown (\"Kubelet stopped posting node status\") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminat","files":["SKILL.md"]},{"name":"gke-ai-troubleshooting-tpu-dynamic-slices-monitoring","description":"Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice con","files":["SKILL.md","references/failure_signatures.md","scripts/validate_queries.sh"]},{"name":"gke-ai-troubleshooting-tpu-metrics-monitoring","description":"Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics fo","files":["SKILL.md","references/failure_signatures.md","scripts/validate_queries.sh"]},{"name":"gke-ai-troubleshooting-tpu-mxla-hang","description":"Diagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/contain","files":["SKILL.md","references/path-a-compiler-hlo-divergence.md","references/path-b-program-queueing-input-stall.md","references/path-c-hardware-network-faults.md","references/path-d-no-detected-or-unknown.md","references/path-e-healthy-telemetry.md"]},{"name":"gke-ai-troubleshooting-tpu-performance-degradation","description":"Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/n","files":["SKILL.md","references/path-a-workload-bottlenecks.md","references/path-b-infrastructure-throttling.md","references/path-c-no-detected-analyzer.md","references/path-d-healthy-telemetry.md"]},{"name":"gke-ai-troubleshooting-tpu-vbar-oom","description":"Diagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOM","files":["SKILL.md","references/failure_signatures.md","scripts/validate_queries.sh"]},{"name":"gke-alert-configuration","description":"Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, erro","files":["SKILL.md","references/gke_configuration_prerequisites.md","references/metrics_and_alerts_catalog.md","references/promql_queries.md","scripts/validate_config.py"]},{"name":"gke-app-onboarding","description":"Manages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrade","files":["SKILL.md","assets/Dockerfile","assets/deployment.yaml","assets/index.js","assets/package-lock.json","assets/package.json","references/go-example.md"]},{"name":"gke-backup-dr","description":"Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.","files":["SKILL.md"]},{"name":"gke-basics","description":"Manages core GKE cluster provisioning, credentials, Autopilot vs Standard selection, and workload deployment. Use when creating GKE clusters, fetching kubectl credentials, or deciding between Autopilot and Standard modes. Don't use for Workload Identity (use gke-workload-identity), GKE networking (u","files":["SKILL.md","references/cli-reference.md","references/client-library-usage.md","references/core-concepts.md","references/iac-usage.md","references/mcp-usage.md"]},{"name":"gke-batch-hpc","description":"Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead).","files":["SKILL.md"]},{"name":"gke-cluster-autoscaler","description":"Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do","files":["SKILL.md","assets/capacity-buffer-serving.yaml","assets/find-scale-down-blockers.sh","assets/log-autoscaler-events.sh","references/ca-capacity-buffers.md","references/ca-consolidation-tuning.md","references/ca-debug.md","references/ca-optimization.md","references/ca-provisioning.md"]},{"name":"gke-cluster-creation","description":"Plans and executes GKE cluster creation, provisioning, and production readiness audits using pre-defined templates (Autopilot, Standard Regional, GPU/AI Inference, AI Hypercompute). Use when creating GKE clusters, provisioning GKE environments, selecting cluster modes, or auditing GKE clusters. Don'","files":["SKILL.md"]},{"name":"gke-compute-classes","description":"Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-l","files":["SKILL.md","assets/balanced-reserved-zonal-compute-class.yaml","assets/capacity-quota-spillover.yaml","assets/computeclass-rbac-editor.yaml","assets/dynamic-rwo-storageclass.yaml","assets/equal-priority-tiebreak-compute-class.yaml","assets/genai-inference-g4-compute-class.yaml","assets/kafka-broker-compute-class.yaml","assets/log-autoscaler-events.sh","assets/manual-pool-tiebreak-compute-class.yaml","assets/postgres-primary-compute-class.yaml","assets/redis-compute-class.yaml","assets/restrict-computeclass-usage-vap.yaml","assets/shared-l4-inference-compute-class.yaml","assets/spark-proximal-compute-class.yaml","assets/spot-cost-tiebreak-compute-class.yaml","assets/system-pool-compute-class.yaml","assets/tpu-v5e-training-compute-class.yaml","references/compute-class-autopilot-mode.md","references/compute-class-code-index.md","references/compute-class-cost-optimization.md","references/compute-class-crd-fields.md","references/compute-class-debug.md","references/compute-class-gotchas-and-cuds.md","references/compute-class-governance.md","references/compute-class-karpenter-migration.md","references/compute-class-lifecycle.md","references/compute-class-prioritization.md","references/compute-class-provisioning-methods.md"]},{"name":"gke-cost-analysis","description":"Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GKE costs across projects, namespaces, or workloads, analyzing billing reports in BigQuery (`bq`), che","files":["SKILL.md","references/billing-queries.md"]},{"name":"gke-cost-optimization","description":"Optimizes GKE costs, rightsizes workloads, and configures Spot VMs, CUDs, cost allocation, and resource quotas. Use when optimizing GKE cluster or workload costs, configuring GKE cost allocation or quotas, rightsizing CPU/memory requests, or selecting Spot VMs and machine types. Don't use for genera","files":["SKILL.md","assets/resource-quota-example.yaml","assets/spot-deployment-example.yaml","assets/vpa-recommendation-mode.yaml"]},{"name":"gke-custom-golden-image-discovery","description":"Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image n","files":["SKILL.md"]},{"name":"gke-golden-path","description":"Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up workload autoscaling specifically (use gke-wo","files":["SKILL.md","assets/golden-path-autopilot.yaml"]},{"name":"gke-inference","description":"Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for migrating existing AI workloads to GKE (use google-cloud-solution-guided-gke-ai-","files":["SKILL.md"]},{"name":"gke-manifest-generation","description":"Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup pr","files":["SKILL.md","references/ai-inference.md","references/basic-workload.md","references/gateway-api.md","references/network-policy.md"]},{"name":"gke-multitenancy","description":"Plans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC planning for teams, resource quotas, LimitRanges, network isolation, and cost allocation. Use when designing GKE multi-tenancy, configuring GKE namespaces, setting up resource quotas, or isolating GKE teams. Don't use for si","files":["SKILL.md"]},{"name":"gke-networking","description":"Plans, configures, and manages core GKE cluster networking. Covers private clusters, VPC-native configurations, DNS, node egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Dataplane V2, planning GKE IP ranges, or managing VPC- ","files":["SKILL.md"]},{"name":"gke-node-notready","description":"Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to","files":["SKILL.md"]},{"name":"gke-observability","description":"Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection, and to troubleshoot Managed Service for Prometheus (GMP) issues such as missing metrics, unhealt","files":["SKILL.md"]},{"name":"gke-platform-security","description":"Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, Secrets Encryption (--database-encryption-key), Security Posture (--secu","files":["SKILL.md"]},{"name":"gke-productionize","description":"Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going","files":["SKILL.md"]},{"name":"gke-reliability","description":"Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or","files":["SKILL.md"]},{"name":"gke-service-networking","description":"Configures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates o","files":["SKILL.md","assets/backendconfig.yaml","assets/gateway-https.yaml","assets/gateway.yaml","assets/httproute-traffic-split.yaml","assets/httproute.yaml","assets/ingress.yaml","assets/managed-certificate.yaml","assets/service-attachment.yaml"]},{"name":"gke-storage","description":"Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM","files":["SKILL.md"]},{"name":"gke-storage-troubleshooting","description":"Diagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud ","files":["SKILL.md"]},{"name":"gke-upgrades","description":"Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Ha","files":["SKILL.md","references/checklists.md","references/runbook-template.md","references/troubleshooting.md"]},{"name":"gke-workload-identity","description":"Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 \"iam.serviceAccounts.getAccessToken\" / permission denied, \"could not find default credentials\", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, ","files":["SKILL.md"]},{"name":"gke-workload-scaling","description":"Manages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or conf","files":["SKILL.md","assets/hpa-example.yaml","assets/vpa-example.yaml"]},{"name":"gke-workload-scaling-troubleshooting","description":"Diagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown>, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests, custom/external metrics-pipeline breakage (FailedGetExternalMetric / FailedGetCustomMetric, unavailable ","files":["SKILL.md"]},{"name":"gke-workload-security","description":"Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (`audit_cluster.sh`), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVis","files":["SKILL.md","assets/default-deny-netpol.yaml","assets/workload-identity-pod.yaml","scripts/audit_cluster.sh"]},{"name":"gke-workload-troubleshooting","description":"Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events. Use when pods fail to start or crash repeatedly. Don't use for GKE cluster infrastructure provisioning, node pool creation, or non-Kubernetes Google Cloud services.","files":["SKILL.md"]},{"name":"gladia-automation","description":"Automate Gladia tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gleap-automation","description":"Automate Gleap tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"globalping-automation","description":"Automate Globalping tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"glycoengineering","description":"Analyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows. Use for glycoprotein engineering, antibody Fc glycosylation, glycan shielding, and si","files":["SKILL.md","references/glycan_databases.md","references/glycoshield.md","scripts/glycoengineering_tools.py","scripts/glytoucan_lookup.py"]},{"name":"go-concurrency-patterns","description":"Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.","files":["SKILL.md","references/details.md"]},{"name":"go-mcp-server-generator","description":"Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.","files":["SKILL.md"]},{"name":"go-to-webinar-automation","description":"Automate GoToWebinar tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"goal-prompt","description":"Drafts copy-paste-ready /goal commands for goal mode in Claude Code and Codex. Use when the user asks to create, write, rewrite, improve, compress, clean up, or prepare a goal prompt, goal condition, /goal command, goal-mode objective, or copy-ready long-running task objective.","files":["SKILL.md","agents/openai.yaml","scripts/format_goal_prompt.py","scripts/test_format_goal_prompt.py"]},{"name":"godial-automation","description":"Automate Godial tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"godot-gdscript-patterns","description":"Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"golang-api-server","description":"Build HTTP services, REST APIs, and middleware in Go. Use when building Go HTTP servers, REST APIs, or custom middleware.","files":["SKILL.md","evals/evals.json","references/graceful-shutdown.md","references/middleware-patterns.md"]},{"name":"golang-architecture","description":"Structure Go code with package-first boundaries, `cmd/` and `internal/`, and explicit dependency wiring. Use when shaping project layout, package ownership, or service boundaries in Go; defer Redis/cache-specific implementation recipes to database skills.","files":["SKILL.md","evals/evals.json","references/clean-arch.md","references/project-layout.md"]},{"name":"golang-cli","description":"Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also trig","files":["SKILL.md","assets/examples/args.go","assets/examples/cli_test.go","assets/examples/completion.go","assets/examples/config.go","assets/examples/exit_codes.go","assets/examples/flags.go","assets/examples/main.go","assets/examples/output.go","assets/examples/root.go","assets/examples/serve.go","assets/examples/signal.go","assets/examples/version.go","evals/evals.json"]},{"name":"golang-code-style","description":"Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golan","files":["SKILL.md","evals/evals.json","references/details.md"]},{"name":"golang-concurrency","description":"Write safe concurrent Go code with goroutines, channels, and context. Use when implementing concurrency with goroutines, channels, or context in Go.","files":["SKILL.md","evals/evals.json","references/concurrency-patterns.md","references/context-usage.md"]},{"name":"golang-configuration","description":"Load and validate application configuration from environment variables and config files. Use when managing Go application config with environment variables or viper.","files":["SKILL.md","evals/evals.json","references/config-patterns.md"]},{"name":"golang-context","description":"Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values, context.WithoutCancel for background work outliving requests. Apply when designing context propagation across layers, debugging leaked or unexpired contexts, c","files":["SKILL.md","evals/evals.json","references/cancellation.md","references/http-services.md","references/values-tracing.md"]},{"name":"golang-data-structures","description":"Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when cho","files":["SKILL.md","evals/evals.json","references/containers.md","references/generics.md","references/map-internals.md","references/pointers.md","references/slice-internals.md"]},{"name":"golang-database","description":"Implement Go database access with context, pool tuning, transaction boundaries, and repository seams. Use when building repositories, tuning `sql.DB` or `pgx`, or reviewing DB transaction flow in Go.","files":["SKILL.md","evals/evals.json","references/connection-tuning.md","references/repository-pattern.md"]},{"name":"golang-dependency-injection","description":"Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing ser","files":["SKILL.md","evals/evals.json","references/google-wire.md","references/manual-di.md","references/samber-do.md","references/uber-dig-fx.md"]},{"name":"golang-dependency-management","description":"Dependency management for Golang projects — go.mod and go.sum, `go get` install and upgrade flows, Minimal Version Selection, conflict resolution with replace/exclude/retract, `govulncheck` scanning of the module tree, outdated dependency and binary size auditing, vendoring, `tool` directives, and g","files":["SKILL.md","evals/evals.json","references/auditing.md","references/automated-updates.md","references/conflicts.md","references/versioning.md","references/visualization.md","references/workspaces.md"]},{"name":"golang-design-patterns","description":"Idiomatic Golang design patterns — functional options, constructor APIs, `init()` and global-state avoidance, enums, panic vs error decisions, resource management and lifecycle, graceful shutdown, timeouts and retries, streaming and iterators, and architecture styles (clean, hexagonal, DDD, flat). A","files":["SKILL.md","evals/evals.json","references/architecture.md","references/clean-architecture.md","references/data-handling.md","references/ddd.md","references/hexagonal-architecture.md","references/resource-management.md"]},{"name":"golang-documentation","description":"Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation be","files":["SKILL.md","assets/templates/CHANGELOG.md","assets/templates/CONTRIBUTING.md","assets/templates/README.md","assets/templates/llms.txt","evals/evals.json","references/application.md","references/code-comments.md","references/library.md","references/project-docs.md"]},{"name":"golang-error-handling","description":"Standards for error wrapping, checking, and definition in Golang. Use when wrapping errors, defining sentinel errors, or handling errors idiomatically in Go.","files":["SKILL.md","evals/evals.json","references/error-wrapping.md"]},{"name":"golang-google-wire","description":"Compile-time dependency injection in Golang using google/wire — wire.NewSet, wire.Build, wire.Bind (interface→concrete), wire.Struct, wire.Value, wire.InterfaceValue, wire.FieldsOf, cleanup functions, //go:build wireinject injector files, and generated wire_gen.go. Apply when using or adopting googl","files":["SKILL.md","evals/evals.json","references/advanced.md","references/recipes.md","references/testing.md"]},{"name":"golang-gopls","description":"Golang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/inline/fill/rewrite code actions), formatting, and generated","files":["SKILL.md","references/cli.md","references/features.md","references/matrix.md","references/mcp.md","references/settings.md"]},{"name":"golang-graphql","description":"Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/gr","files":["SKILL.md","evals/evals.json","references/gqlgen.md","references/graphql-go.md","references/testing.md"]},{"name":"golang-grpc","description":"Provides gRPC usage guidelines, protobuf organization, and production-ready patterns for Golang microservices. Use when implementing, reviewing, or debugging gRPC servers/clients, writing proto files, setting up interceptors, handling gRPC errors with status codes, configuring TLS/mTLS, testing with","files":["SKILL.md","evals/evals.json","references/protoc-reference.md","references/testing.md"]},{"name":"golang-language","description":"Core idioms, style guides, and best practices for writing idiomatic Go code. Use when writing Go code following official style guides and idiomatic patterns.","files":["SKILL.md","evals/evals.json","references/effective-go-summary.md","references/idioms.md"]},{"name":"golang-lint","description":"Linting best practices and golangci-lint configuration for Golang projects — running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and selecting linters. Use when configuring golangci-lint, asking about lint warnings or nolint suppressions","files":["SKILL.md","assets/.golangci.yml","evals/evals.json","references/linter-reference.md","references/nolint-directives.md"]},{"name":"golang-logging","description":"Standards for structured logging and observability in Golang. Use when adding structured logging or tracing to Go services.","files":["SKILL.md","evals/evals.json","references/slog-patterns.md"]},{"name":"golang-modernize","description":"Modernize Golang code to use recent language features, standard library improvements, and idiomatic patterns. Use when reviewing Go code with old-style patterns, when encountering a deprecation warning, or when the user asks for modernization, a Go version upgrade (e.g. to Go 1.27), or a CI/tooling ","files":["SKILL.md","evals/evals.json","references/tooling.md","references/versions.md"]},{"name":"golang-naming","description":"Go (Golang) naming conventions — covers packages, constructors, structs, interfaces, constants, enums, errors, booleans, receivers, getters/setters, functional options, acronyms, test functions, and subtest names. Use this skill when writing new Go code, reviewing or refactoring, choosing between na","files":["SKILL.md","evals/evals.json","references/functions-methods.md","references/identifiers.md","references/packages-files.md","references/testing.md","references/types-errors.md"]},{"name":"golang-observability","description":"Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go se","files":["SKILL.md","evals/evals.json","references/alerting.md","references/dashboards.md","references/logging.md","references/metrics.md","references/profiling.md","references/rum.md","references/tracing.md"]},{"name":"golang-patterns","description":"Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question.","files":["SKILL.md"]},{"name":"golang-performance","description":"Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimizat","files":["SKILL.md","assets/prometheus-alerts.yml","evals/evals.json","references/caching.md","references/cpu.md","references/io-networking.md","references/memory.md","references/observability.md","references/runtime.md"]},{"name":"golang-pkg-go-dev","description":"Golang package and module lookup via `godig`, a pkg.go.dev API client (CLI + MCP server). Use for any Go/Golang library's documentation, API signatures, symbols, usage examples, which versions exist, licenses, whether a dependency has CVEs, or who imports a package — prefer this over Context7 for an","files":["SKILL.md","references/sample-output.md"]},{"name":"golang-popular-libraries","description":"Golang library and framework selection — vetted production-ready options by category (web, database, testing, logging, messaging), new and experimental stdlib packages, standard-library-first tradeoffs, and maturity signals (maintenance, license, importer counts). Apply when the user asks for librar","files":["SKILL.md","evals/evals.json","references/libraries.md","references/stdlib.md","references/tools.md"]},{"name":"golang-pro","description":"Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent","files":["SKILL.md","references/concurrency.md","references/generics.md","references/interfaces.md","references/project-structure.md","references/testing.md"]},{"name":"golang-project-layout","description":"Golang project layout and workspace setup — cmd/internal/pkg directory conventions, module and package naming, go.work workspaces, and essential configuration files. Use when starting a new Go project, organizing an existing codebase, setting up a monorepo with multiple packages, creating CLI tools ","files":["SKILL.md","assets/Makefile","evals/evals.json","references/config.md","references/directory-layouts.md","references/testing-layout.md","references/workspaces.md"]},{"name":"golang-refactoring","description":"Golang refactoring — safe, at-scale restructuring of existing Go code: a coverage-adaptive safety net, behavior-preserving transforms (gopls Rename/Extract, `gofmt -r`, `gopatch`), the Fowler catalog mapped to Go, breaking import cycles, and small stacked PRs. Apply when a function or type has grown","files":["SKILL.md","references/catalog.md","references/go-tooling.md","references/safety-net.md","references/structural.md","references/workflow.md"]},{"name":"golang-safety","description":"Defensive Golang coding against accidental bugs — nil panics, typed-nil interfaces, `append` backing-array aliasing, silent int64-to-int32 truncation, float `==` comparison, `defer` inside loops, defensive copies of slices and maps, and usable zero values. Use when a Go program panics on a nil map w","files":["SKILL.md","evals/evals.json","references/nil-safety.md","references/slice-map-safety.md"]},{"name":"golang-samber-do","description":"Dependency injection in Golang using samber/do — service containers, lifecycle management, scopes, health checks, graceful shutdown, and module organization. Apply when using or adopting samber/do, when the codebase imports github.com/samber/do or github.com/samber/do/v2, or when refactoring manual ","files":["SKILL.md","evals/evals.json","references/advanced.md","references/testing.md"]},{"name":"golang-samber-hot","description":"In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports","files":["SKILL.md","evals/evals.json","references/algorithm-guide.md","references/api-reference.md","references/production-patterns.md"]},{"name":"golang-samber-lo","description":"Functional programming helpers for Golang using samber/lo — 500+ type-safe generic functions for slices, maps, channels, strings, math, tuples, and concurrency (Map, Filter, Reduce, GroupBy, Chunk, Flatten, Find, Uniq, etc.). Core immutable package (lo), concurrent variants (lo/parallel aka lop), in","files":["SKILL.md","evals/evals.json","references/advanced-patterns.md","references/api-reference.md","references/package-guide.md"]},{"name":"golang-samber-mo","description":"Monadic types for Golang using samber/mo — Option, Result, Either, Future, IO, Task, and State types for type-safe nullable values, error handling, and functional composition with pipeline sub-packages. Apply when using or adopting samber/mo, when the codebase imports `github.com/samber/mo`, or when","files":["SKILL.md","evals/evals.json","references/advanced-types.md","references/either.md","references/monads-guide.md","references/option.md","references/pipelines.md","references/result.md"]},{"name":"golang-samber-oops","description":"Structured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports","files":["SKILL.md","evals/evals.json","references/advanced.md"]},{"name":"golang-samber-ro","description":"Reactive streams and event-driven programming in Golang using samber/ro — ReactiveX implementation with 150+ type-safe operators, cold/hot observables, 5 subject types (Publish, Behavior, Replay, Async, Unicast), declarative pipelines via Pipe, 40+ plugins (HTTP, cron, fsnotify, JSON, logging), auto","files":["SKILL.md","evals/evals.json","references/operators-guide.md","references/patterns.md","references/plugin-ecosystem.md","references/subjects-guide.md"]},{"name":"golang-security","description":"Secure Go backend services against common vulnerabilities. Use when implementing input validation, crypto, or SQL injection prevention in Go.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"golang-spf13-cobra","description":"Golang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template custo","files":["SKILL.md","evals/evals.json","references/commands-and-args.md","references/completions.md","references/flags.md","references/generators.md","references/testing.md"]},{"name":"golang-spf13-viper","description":"Golang configuration library using spf13/viper — layered precedence (flag > env > file > KV > default), BindPFlag/BindPFlags, SetEnvPrefix + SetEnvKeyReplacer + AutomaticEnv, ReadInConfig + ConfigFileNotFoundError, Unmarshal + mapstructure struct tags, Sub for sub-trees, WatchConfig + OnConfigChange","files":["SKILL.md","evals/evals.json","references/binding-and-env.md","references/sources-and-formats.md","references/testing-and-isolation.md","references/unmarshal.md","references/watch-and-reload.md"]},{"name":"golang-stay-updated","description":"Golang ecosystem watch list — official sources (go.dev/blog, pkg.go.dev, tour.golang.org, golang-nuts), newsletters (Golang Weekly, Awesome Go Newsletter), communities (r/golang, gophers.slack.com, Go Forum, go.dev/wiki), blogs (Dave Cheney, Ardan Labs, Rob Pike), YouTube channels (Gopher Academy, G","files":["SKILL.md","evals/evals.json"]},{"name":"golang-stretchr-testify","description":"Comprehensive guide to stretchr/testify for Golang testing. Covers assert, require, mock, and suite packages in depth. Use when writing tests with testify, creating mocks, setting up test suites, or choosing between assert and require. Covers testify assertions, mock expectations, argument matchers,","files":["SKILL.md","evals/evals.json","references/mock.md"]},{"name":"golang-structs-interfaces","description":"Golang struct and interface design patterns — composition, embedding, type assertions, type switches, interface segregation, dependency injection via interfaces, struct field tags, and pointer vs value receivers. Use this skill when designing Go types, defining or implementing interfaces, embedding ","files":["SKILL.md","evals/evals.json","references/struct-fields.md","references/type-assertions.md"]},{"name":"golang-swagger","description":"Golang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, ","files":["SKILL.md","evals/evals.json","references/swag-cli.md"]},{"name":"golang-testing","description":"Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage.","files":["SKILL.md"]},{"name":"golang-tooling","description":"Go developer toolchain — gopls LSP diagnostics, linting, formatting, and vet. Use when setting up Go tooling, running linters, or integrating gopls with Claude Code.","files":["SKILL.md","evals/evals.json","references/golangci.md"]},{"name":"golang-troubleshooting","description":"Troubleshoot Golang programs systematically - find and fix the root cause. Use when encountering bugs, crashes, deadlocks, races, or unexpected behavior in Go code. Covers debugging methodology, common Go pitfalls, test-driven debugging, pprof setup and capture, Delve, race detection, GODEBUG tracin","files":["SKILL.md","evals/evals.json","references/code-review-flags.md","references/common-go-bugs.md","references/compilation.md","references/concurrency-debug.md","references/diagnostic-tools.md","references/methodology.md","references/performance-debug.md","references/pprof.md","references/production-debug.md","references/testing-debug.md"]},{"name":"golang-uber-dig","description":"Implements dependency injection in Golang using uber-go/dig — reflection-based container, Provide/Invoke, dig.In/dig.Out parameter and result objects, named values, value groups, optional dependencies, scopes, and Decorate. Apply when using or adopting uber-go/dig, when the codebase imports `go.uber","files":["SKILL.md","evals/evals.json","references/advanced.md","references/recipes.md","references/testing.md"]},{"name":"golang-uber-fx","description":"Golang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, o","files":["SKILL.md","evals/evals.json","references/advanced.md","references/recipes.md","references/testing.md"]},{"name":"goodbits-automation","description":"Automate Goodbits tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"goody-automation","description":"Automate Goody tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-address-validation-automation","description":"Automate Google Address Validation tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-admin-automation","description":"Automate Google Workspace Admin tasks via Rube MCP (Composio): manage users, groups, memberships, suspend accounts, create users, add aliases. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-ads-api-account-diagnostics","description":"Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating l","files":["SKILL.md"]},{"name":"google-ads-api-quickstart","description":"Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a \"retrieve campaigns\" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, login_customer_id issues, and DEVELOPER_TOKEN_NOT_APPROVED.\n\nU","files":["SKILL.md","references/dotnet.md","references/java.md","references/perl.md","references/php.md","references/python.md","references/rest.md","references/ruby.md"]},{"name":"google-agents-cli-deploy","description":"This skill should be used when the user wants to \"deploy an agent\", \"deploy my ADK agent\", \"set up CI/CD\", \"configure secrets\", \"troubleshoot a deployment\", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. 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Covers ev","files":["SKILL.md","references/advanced-commands.md","references/builtin-tools-eval.md","references/dataset_schema.md","references/live-eval.md","references/metrics-guide.md","references/multimodal-eval.md","references/user-simulation.md"]},{"name":"google-agents-cli-observability","description":"This skill should be used when the user wants to \"set up tracing\", \"monitor my agent\", \"configure logging\", \"add observability\", \"debug production traffic\", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, Big","files":["SKILL.md","references/adk-docs.md","references/bigquery-agent-analytics.md","references/cloud-trace-and-logging.md","references/feedback-mechanism.md"]},{"name":"google-agents-cli-onboarding","description":"Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to \"create a new agent\", \"develop an agent\", \"build an agent using ADK\", \"run the agent locally\", \"debug agent code\", \"test an agent\", \"evaluate an agent\", \"deploy an agent\", \"publish an agent\", \"monitor an","files":["SKILL.md"]},{"name":"google-agents-cli-publish","description":"This skill should be used when the user wants to \"publish an agent\", \"publish my ADK agent\", \"register an agent with Gemini Enterprise\", \"publish to Gemini Enterprise\", or needs guidance on the agents-cli publish gemini-enterprise command. Also use when the user wants to \"manage agents in Agent Regi","files":["SKILL.md"]},{"name":"google-agents-cli-scaffold","description":"This skill should be used when the user wants to \"create an agent project\", \"start a new ADK project\", \"build me a new agent\", \"add CI/CD to my project\", \"add deployment\", \"enhance my project\", or \"upgrade my project\". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffo","files":["SKILL.md","references/flags.md"]},{"name":"google-agents-cli-workflow","description":"This skill should be used when the user wants to \"develop an agent\", \"build an agent using ADK\", \"run the agent locally\", \"debug agent code\", \"test an agent\", \"deploy an agent\", \"publish an agent\", \"monitor an agent\", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelin","files":["SKILL.md","references/brainstorming.md","references/commands.md","references/extension.md","references/internals.md","references/spec-template.md","references/terminology.md"]},{"name":"google-analytics-admin-api-basics","description":"Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provi","files":["SKILL.md","references/dotnet.md","references/go.md","references/java.md","references/nodejs.md","references/php.md","references/python.md","references/ruby.md"]},{"name":"google-analytics-data-api-basics","description":"Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageVi","files":["SKILL.md","references/dotnet.md","references/go.md","references/java.md","references/nodejs.md","references/php.md","references/python.md","references/ruby.md"]},{"name":"google-classroom-automation","description":"Automate Google Classroom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-cloud-filestore-auditing","description":"Audits Filestore instances on Google Cloud across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone S","files":["SKILL.md","references/audit-rules-matrix.md","references/backup-dr-governance.md","references/security-access-governance.md","references/zone-isolation-pzi-pzs.md","scripts/filestore_audit.py"]},{"name":"google-cloud-filestore-autoscale","description":"Inspects Filestore capacity and utilization on Google Cloud, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/s","files":["SKILL.md","references/instance-tiers-specs.md","references/monitoring-metrics.md","references/troubleshooting-errors.md"]},{"name":"google-cloud-filestore-log-troubleshooting","description":"Diagnoses and resolves Filestore client mount failures on Google Cloud, permission errors (EACCES), and network timeouts (ETIMEDOUT). Use when an NFS mount hangs or fails from a Compute Engine VM, GKE pod, Cloud Run service, or Vertex AI workload, when `mount.nfs` reports \"Connection timed out\" or \"","files":["SKILL.md","references/error-signatures.md","references/logging-and-audit-queries.md","references/mock-fleet-data.md","references/network-firewall-spec.md","scripts/diagnose_lib.py","scripts/quick_diagnose.py"]},{"name":"google-cloud-global-frontend-configuration","description":"Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations.\nUse when:\n- Designing, configuring, or deploying a Google ","files":["SKILL.md","references/drift-detection.md","references/gcloud-generation.md","references/managed-deployment.md","references/resource-discovery.md","references/terraform-generation.md","references/terraform-module.md"]},{"name":"google-cloud-networking-observability","description":"Investigates Google Cloud networking issues by analyzing GCP logs, metrics, and diagnostics. Use when investigating dropped network traffic, packet drops, drop reasons, VPC Flow Logs (including Private Service Connect / PSC, serverless / App Engine Direct VPC, and cost estimation), NAT, firewall, or","files":["SKILL.md","references/cloud-nat-analysis.md","references/connectivity-tests.md","references/firewall-analysis.md","references/mcp-usage.md","references/metrics-analysis.md","references/threat-analysis.md","references/vpc-flow-analysis.md","references/vpc-flow-logs-cost-estimation.md"]},{"name":"google-cloud-recipe-auth","description":"Provides expert guidance on Identity and Access Management (IAM) and authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.","files":["SKILL.md"]},{"name":"google-cloud-recipe-foundation-builder","description":"Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and arc","files":["SKILL.md","references/admin-iam.md","references/logging-monitoring.md","references/org-policies.md"]},{"name":"google-cloud-recipe-onboarding","description":"Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organizati","files":["SKILL.md"]},{"name":"google-cloud-scc-query","description":"Queries and retrieves active security findings, external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks from Security Command Center on Google Cloud. Use when retrieving details for a security finding by its name, validating finding scope (e.g., verifying findingCl","files":["SKILL.md","references/finding_schema.md"]},{"name":"google-cloud-scc-remediation","description":"Remediates Google Cloud Security Command Center findings, including IAM permission fixes, cloud resource misconfigurations, vulnerabilities, and Toxic Combinations. Use when asked to fix, remediate, or mitigate a Security Command Center finding or address attack paths. Don't use for general IAM poli","files":["SKILL.md","references/remediation_iam.md","references/remediation_misconfig.md","references/remediation_vuln.md"]},{"name":"google-cloud-slo-alert-configuration","description":"Configures Cloud Monitoring PromQL-based Service Level Objective (SLO) alerting policies on Google Cloud for resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting p","files":["SKILL.md","references/app_hub_labels.md","references/promql_templates.md","references/service_metrics.md"]},{"name":"google-cloud-solution-agentic-ai-bidirectional-streaming","description":"Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and ar","files":["SKILL.md","assets/output-template.md","references/design-recommendations.md","references/product-mapping.md"]},{"name":"google-cloud-solution-agentic-ai-borderless-data-lakehouse","description":"Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Int","files":["SKILL.md","assets/output-template.md","references/design_recommendations.md","references/product_mapping.md","references/product_renaming.md"]},{"name":"google-cloud-solution-agentic-ai-data-science-workflow","description":"Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, o","files":["SKILL.md","assets/output-template.md","references/design-recommendations.md","references/product-mapping.md"]},{"name":"google-cloud-solution-agentic-analytics-spark-knowledge-catalog","description":"Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Bl","files":["SKILL.md","assets/output-template.md","references/design-recommendations.md","references/knowledge-catalog-documentation.md","references/product-selection-guidance.md"]},{"name":"google-cloud-solution-architecture","description":"Interactively discovers requirements and designs holistic, multi-product system architectures, solution blueprints, and deployment recommendations for complex workloads on Google Cloud. Use when designing end-to-end cloud solutions, selecting and integrating Google Cloud services, generating archite","files":["SKILL.md","assets/output-template.md","references/architecture-guides.md","references/best-practices-guides.md","references/decision-making-guides.md"]},{"name":"google-cloud-solution-build-deploy-agents","description":"Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general G","files":["SKILL.md","assets/implementation-template.md","assets/solution-template.md","assets/validation-template.md","references/design-principles.md","references/product-mappings.md","references/related-guidance.md"]},{"name":"google-cloud-solution-guided-gke-ai-migration","description":"Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and ","files":["SKILL.md"]},{"name":"google-cloud-solution-hybrid-search-alloydb","description":"Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filteri","files":["SKILL.md","assets/output-template.md","references/design-recommendations.md","references/product-mapping.md","references/related-guidance.md"]},{"name":"google-cloud-solution-multi-agent-security","description":"Designs, deploys, and secures Google Cloud Agent Gateway solutions. Use when the user needs to configure multi-agent security, ingress (CLIENT_TO_AGENT), or egress (AGENT_TO_ANYWHERE) patterns involving Model Armor, IAP, and Agent Registry. Don't use for general Cloud Load Balancing or basic VPC set","files":["SKILL.md","assets/agw-authz-extension.yaml","assets/agw-authz-policy.yaml","assets/agw-egress-config-run.yaml","assets/agw-egress-config.yaml","assets/agw-ingress-config.yaml","assets/iap-policy-multi-agent.json","assets/iap-policy.json","assets/model-armor-advanced.yaml","assets/model-armor-config.yaml","assets/model-armor-payload.json","assets/sgp-policy.yaml","scripts/create_gke_dns_record.sh","scripts/deploy_infrastructure.sh","scripts/enforce_sgp_patch.sh","scripts/fix_egress_iap.sh","scripts/hybrid_vpn_agent.py","scripts/multi_agent_cloud_run.py","scripts/register_cloud_run_services.sh","scripts/validate_ingress_unauth.sh","scripts/verify_egress_policies.py","scripts/verify_ingress_auth.sh"]},{"name":"google-cloud-solution-rag-enterprise-search-gke-sqldb","description":"Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open","files":["SKILL.md","assets/output-template.md","references/design-recommendations.md","references/product-selection-recommendations.md","references/related-documentation.md"]},{"name":"google-cloud-storage-bucket-architect","description":"Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default,","files":["SKILL.md","references/archiving_compliance.md","references/backup_dr.md","references/gcloud.md","references/log_storage.md","references/media_hosting.md","references/phase_draft_plan.md","references/phase_output.md","references/phase_project_checks.md","references/rest.md","references/sdk.md","references/sdk_cpp.md","references/sdk_go.md","references/sdk_java.md","references/sdk_python.md","references/sensitive_data.md","references/static_website.md","references/storage_for_ai.md","references/terraform.md","references/ugc_ingestion.md"]},{"name":"google-cloud-storage-fuse","description":"Mounts Cloud Storage buckets on Google Cloud as a POSIX file system using Cloud Storage FUSE (and the gcsfuse CLI tool). Use when interacting with the gcsfuse CLI or Cloud Storage FUSE mounts: decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts o","files":["SKILL.md","references/checkpoint-safety.md","references/gke-training-deployment.md","references/performance-diagnosis.md"]},{"name":"google-cloud-vision-automation","description":"Automate Google Cloud Vision tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-cloud-waf-cost-optimization","description":"Evaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar. Use when the user asks to analyze Google Cloud spend, reduce cloud bills, rightsize resources (for example, Compute, GKE, Storage, Databases), evaluat","files":["SKILL.md"]},{"name":"google-cloud-waf-operational-excellence","description":"Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actiona","files":["SKILL.md"]},{"name":"google-cloud-waf-performance-optimization","description":"Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide acti","files":["SKILL.md"]},{"name":"google-cloud-waf-reliability","description":"Generates guidance for reliability, resilience, availability, redundancy, fault-tolerance, and disaster recovery (DR) for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use when the user asks to evaluate, design, or improve t","files":["SKILL.md"]},{"name":"google-cloud-waf-security","description":"Generates security-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate workloads, identify security requirements, and provide actionable recommendations for IAM, network securi","files":["SKILL.md"]},{"name":"google-cloud-waf-sustainability","description":"Provides recommendations for environmental sustainability, carbon footprint reduction, and energy efficiency based on the Sustainability pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks to assess, design, or optimize Google Cloud workloads for sustainability—includ","files":["SKILL.md"]},{"name":"google-maps-automation","description":"Automate Google Maps tasks via Rube MCP (Composio): geocode addresses, search places, get directions, compute route matrices, reverse geocode, autocomplete, get place details. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-mobile-ads-android-migrate-to-next-gen","description":"Migrates Android applications from the old, legacy Google Mobile","files":["SKILL.md"]},{"name":"google-mobile-ads-banner","description":"Provides instructions to implement, integrate, or configure Google Mobile Ads (GMA) banner ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up banner ads in a mobile application. Don't use for other ad formats like interstitial or rewarded ads.","files":["SKILL.md","references/android-banner.md","references/ios-banner.md","references/unity-banner.md"]},{"name":"google-mobile-ads-get-started","description":"Provides instructions for integrating the Google Mobile Ads (GMA) SDK. Use this skill when the user wants to get started with, install, integrate, set up, or configure the SDK for AdMob or Ad Manager, GMA Next-Gen SDK or mobile ads framework in an Android, iOS, or Unity application.","files":["SKILL.md","references/android-get-started.md","references/ios-get-started.md","references/unity-get-started.md"]},{"name":"google-mobile-ads-interstitial","description":"Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK interstitial ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up interstitial ads. Don't use for \"rewarded interstitial\" ads.","files":["SKILL.md","references/android-interstitial.md","references/ios-interstitial.md","references/unity-interstitial.md"]},{"name":"google-mobile-ads-rewarded","description":"Provides instructions for implementing, integrating, or configuring Google Mobile Ads (GMA) SDK rewarded ads in Android, iOS, or Unity mobile applications. Use when the task involves setting up rewarded ads. Don't use for \"rewarded interstitial\" ads.","files":["SKILL.md","references/android-rewarded.md","references/ios-rewarded.md","references/unity-rewarded.md"]},{"name":"google-mobile-ads-validate","description":"Validates a project's Google Mobile Ads (GMA) SDK integration for iOS, Android, or Unity projects. Use when conducting a full pre-launch audit of an app that integrates GMA SDK or when validating any individual GMA SDK integration checks, such as when validating ad unit IDs and ad formats, SKAdNetwo","files":["SKILL.md","references/ad-preloading.md","references/ad-units.md","references/application-id.md","references/google-skadnetwork-ids.md","references/mediation-adapter-compatibility.md"]},{"name":"google-search-console-automation","description":"Automate Google Search Console tasks via Rube MCP (Composio): query search analytics, list sites, inspect URLs, submit sitemaps, monitor search performance. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"google-workspace-ops","description":"Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.","files":["SKILL.md"]},{"name":"googleads-automation","description":"Automate Google Ads analytics tasks via Rube MCP (Composio): list Google Ads links, run GA4 reports, check compatibility, list properties and accounts. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googlebigquery-automation","description":"Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googlecalendar-automation","description":"Automate Google Calendar tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googledocs-automation","description":"Automate Google Docs tasks via Rube MCP (Composio): create, edit, search, export, copy, and update documents. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googledrive-automation","description":"Automate Google Drive tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googlemeet-automation","description":"Automate Google Meet tasks via Rube MCP (Composio): create Meet spaces, schedule video conferences via Calendar events, manage meeting access. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googlephotos-automation","description":"Automate Google Photos tasks via Rube MCP (Composio): upload media, manage albums, search photos, batch add items, create and update albums. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googleslides-automation","description":"Automate Google Slides tasks via Rube MCP (Composio): create presentations, add slides from Markdown, batch update, copy from templates, get thumbnails. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googlesuper-automation","description":"Automate Google Super tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"googletasks-automation","description":"Automate Google Tasks via Rube MCP (Composio): create, list, update, delete, move, and bulk-insert tasks and task lists. Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gosquared-automation","description":"Automate Gosquared tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"gpu-kubernetes-operations","description":"Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.","files":["SKILL.md"]},{"name":"grafana-dashboards","description":"Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.","files":["SKILL.md"]},{"name":"grafana-oss","description":"Configure Grafana OSS — provisions dashboards from YAML, sets up data sources (Prometheus / Loki / Tempo / Pyroscope), writes dashboard JSON with template variables, builds panel queries, assigns built-in roles (Viewer / Editor / Admin / GrafanaAdmin), mints service-account tokens, edits grafana.ini","files":["SKILL.md","references/alerting.md","references/api.md","references/config.md","references/dashboard-json.md","references/dashboards.md","references/datasources.md","references/panel-types.md","references/panels.md"]},{"name":"grafana-scenes","description":"Build Grafana plugin pages using the @grafana/scenes framework. Use when creating new scene pages, adding panels/visualizations, setting up drilldown navigation, defining variables, configuring query runners, building table/timeseries/stat panels, or extending SceneObjectBase for custom scene object","files":["SKILL.md"]},{"name":"grafbase-automation","description":"Automate Grafbase tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"graph","description":"Deterministic orchestration graph runtime - declarative DAG pipelines with journal-based crash recovery","files":["SKILL.md"]},{"name":"graph-evolution","description":"Compares Trailmark code graphs at two source code snapshots (git commits, tags, or directories) to surface security-relevant structural changes. Detects new attack paths, complexity shifts, blast radius growth, taint propagation changes, and privilege boundary modifications that text diffs miss. Use","files":["SKILL.md","agents/openai.yaml","references/evolution-metrics.md","references/report-format.md","scripts/graph_diff.py"]},{"name":"graphhopper-automation","description":"Automate Graphhopper tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"graphql-architect","description":"Use when designing GraphQL schemas, implementing Apollo Federation, or building real-time subscriptions. Invoke for schema design, resolvers with DataLoader, query optimization, federation directives.","files":["SKILL.md","references/federation.md","references/migration-from-rest.md","references/resolvers.md","references/schema-design.md","references/security.md","references/subscriptions.md"]},{"name":"graphql-implementation","description":"Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization using Apollo or Graphene. Use when creating flexible query APIs, migrating from REST, or implementing real-time subscriptions.","files":["SKILL.md","references/python-graphene.md"]},{"name":"graphql-operations","description":"Guide for writing GraphQL operations (queries, mutations, fragments) following best practices. Use this skill when: (1) writing GraphQL queries or mutations, (2) organizing operations with fragments, (3) optimizing data fetching patterns, (4) setting up type generation or linting, (5) reviewing oper","files":["SKILL.md","references/fragments.md","references/mutations.md","references/queries.md","references/tooling.md","references/variables.md"]},{"name":"graphql-schema","description":"Guide for designing and changing GraphQL schemas following industry best practices. Use this skill whenever you create or edit GraphQL SDL, such as a `schema.graphql` file or `typeDefs`, including when: (1) designing a new GraphQL schema or API, (2) adding or changing types, fields, arguments, mutat","files":["SKILL.md","references/errors.md","references/naming.md","references/pagination.md","references/security.md","references/types.md"]},{"name":"grill-me","description":"A relentless interview to sharpen a plan or design.","files":["SKILL.md","agents/openai.yaml"]},{"name":"grill-with-docs","description":"A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.","files":["SKILL.md","agents/openai.yaml"]},{"name":"grilling","description":"Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.","files":["SKILL.md","agents/openai.yaml"]},{"name":"griptape-automation","description":"Automate Griptape tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"grist-automation","description":"Automate Grist tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"grounded-vault","description":"Use when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code they describe. Teaches the raw/wiki/archive layout, per-claim","files":["SKILL.md","references/details.md"]},{"name":"growth-log","description":"Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence template and merge-duplicates discipline. Use when capturing what was learned after a complex task, deb","files":["SKILL.md"]},{"name":"grpo-rl-training","description":"Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training","files":["SKILL.md","README.md","examples/reward_functions_library.py","templates/basic_grpo_training.py"]},{"name":"grpo-rlvr-training","description":"Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.","files":["SKILL.md","references/grpo-memory.md","references/reward-functions.md"]},{"name":"gsap-framer-scroll-animation","description":"Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position — in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snappin","files":["SKILL.md","references/framer.md","references/gsap.md"]},{"name":"gstack-openclaw-ceo-review","description":"Use when asked to review a plan, challenge a proposal, run a CEO review, poke holes in an approach, think bigger about scope, or decide whether to expand or reduce the plan.","files":["SKILL.md"]},{"name":"gstack-openclaw-investigate","description":"Use when asked to debug, fix a bug, investigate an error, or do root cause analysis, and when users report errors, stack traces, unexpected behavior, or say something stopped working.","files":["SKILL.md"]},{"name":"gstack-openclaw-office-hours","description":"Use when asked to brainstorm, evaluate whether an idea is worth building, run office hours, or think through a new product idea or design direction before any code is written.","files":["SKILL.md"]},{"name":"gstack-openclaw-retro","description":"Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.","files":["SKILL.md"]},{"name":"gtars","description":"Supports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI.","files":["SKILL.md","references/cli.md","references/coverage.md","references/overlap.md","references/python-api.md","references/refget.md","references/tokenizers.md","scripts/__init__.py","scripts/_common.py","scripts/artifact_inspector.py","scripts/bed_validator.py","scripts/coverage_preflight.py","scripts/execution_plan.py","scripts/refget_digest_plan.py","scripts/tokenizer_manifest.py"]},{"name":"gtm-0-to-1-launch","description":"Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launc","files":["SKILL.md"]},{"name":"gtm-ai-gtm","description":"Go-to-market strategy for AI products. Use when positioning AI products, handling \"who is responsible when it breaks\" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.","files":["SKILL.md"]},{"name":"gtm-board-and-investor-communication","description":"Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the \"Three Things\" narrative model, the 4-tier metric hierarchy,","files":["SKILL.md"]},{"name":"gtm-developer-ecosystem","description":"Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.","files":["SKILL.md"]},{"name":"gtm-enterprise-account-planning","description":"Strategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the \"stale MAP equals dead deal\" pattern.","files":["SKILL.md"]},{"name":"gtm-enterprise-onboarding","description":"Four-phase framework for onboarding enterprise customers from contract to value realization. Use when implementing new enterprise customers, preventing churn during onboarding, or solving the adoption cliff that kills deals post-go-live. Includes the Week 4 ghosting pattern.","files":["SKILL.md"]},{"name":"gtm-operating-cadence","description":"Design meeting rhythms, metric reporting, quarterly planning, and decision-making velocity for scaling companies. Use when decisions are slow, planning is broken, the company is growing but alignment is worse, or leadership meetings consume all time without producing decisions.","files":["SKILL.md"]},{"name":"gtm-partnership-architecture","description":"Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.","files":["SKILL.md"]},{"name":"gtm-positioning-strategy","description":"Find and own a defensible market position. Use when messaging sounds like competitors, conversion is weak despite awareness, repositioning a product, or testing positioning claims. Includes Crawl-Walk-Run rollout methodology and the word change that improved enterprise deal progression.","files":["SKILL.md"]},{"name":"gtm-product-led-growth","description":"Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.","files":["SKILL.md"]},{"name":"gtm-technical-product-pricing","description":"Pricing strategy for technical products. Use when choosing usage-based vs seat-based, designing freemium thresholds, structuring enterprise pricing conversations, deciding when to raise prices, or using price as a positioning signal.","files":["SKILL.md"]},{"name":"guard","description":"Full safety mode: destructive command warnings + directory-scoped edits. (gstack)","files":["SKILL.md"]},{"name":"guidance","description":"Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework","files":["SKILL.md","references/backends.md","references/constraints.md","references/examples.md"]},{"name":"guidelines-advisor","description":"Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whet","files":["SKILL.md","agents/openai.yaml","resources/ASSESSMENT_AREAS.md","resources/DELIVERABLES.md","resources/EXAMPLE_REPORT.md"]},{"name":"habitica-automation","description":"Automate Habitica tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hackernews-automation","description":"Automate Hackernews tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hackernews-frontpage","description":"Scrape the Hacker News front page (titles, points, comment counts).","files":["SKILL.md","_lib/browse-client.ts","script.test.ts","script.ts"]},{"name":"hackerone","description":"HackerOne bug bounty automation - parses scope CSVs, deploys parallel pentesting agents per asset, validates PoCs, and generates platform-ready submission reports.","files":["SKILL.md","reference/INTEGRATION_GUIDE.md","reference/sensitive-data-tracking.md","tools/__init__.py","tools/csv_parser.py","tools/report_validator.py","tools/sensitive_data_tracker.py"]},{"name":"hads","description":"Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.","files":["SKILL.md"]},{"name":"handoff","description":"Compact the current conversation into a handoff document for another agent to pick up.","files":["SKILL.md","agents/openai.yaml"]},{"name":"happy-scribe-automation","description":"Automate Happy Scribe tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"harbor","description":"Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, im","files":["SKILL.md"]},{"name":"harness-engineering","description":"Adopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.","files":["SKILL.md"]},{"name":"harness-writing","description":"Designs and improves fuzzing harnesses for C/C++ and Rust. Covers mapping raw bytes onto a target API, generating structured inputs, avoiding non-determinism and false crashes, and deciding what to fuzz together. Use when writing a first LLVMFuzzerTestOneInput or fuzz_target! harness, when a campaig","files":["SKILL.md","agents/openai.yaml"]},{"name":"hashicorp-vault","description":"Manage secrets and PKI with HashiCorp Vault. Configure secret engines, authentication methods, and policies. Use when implementing centralized secrets management, dynamic credentials, or certificate management.","files":["SKILL.md","assets/kubernetes-auth.yaml","references/secrets-engines.md","references/vault-policies.md","scripts/vault-backup.sh","scripts/vault-init.sh"]},{"name":"hashnode-automation","description":"Automate Hashnode tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hatch-pet","description":"Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect o","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/animation-rows.md","references/codex-pet-contract.md","references/qa-rubric.md","scripts/compose_atlas.py","scripts/derive_running_left_from_running_right.py","scripts/extract_strip_frames.py","scripts/inspect_frames.py","scripts/make_contact_sheet.py","scripts/prepare_pet_run.py","scripts/render_animation_previews.py","scripts/validate_atlas.py"]},{"name":"health","description":"Code quality dashboard. (gstack)","files":["SKILL.md"]},{"name":"health-check-endpoints","description":"Health check endpoints for liveness, readiness, dependency monitoring. Use for Kubernetes, load balancers, auto-scaling, or encountering probe failures, startup delays, dependency checks, timeout configuration errors.","files":["SKILL.md","references/implementations.md"]},{"name":"healthcare-cdss-patterns","description":"Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinic","files":["SKILL.md"]},{"name":"healthcare-emr-patterns","description":"EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generatio","files":["SKILL.md"]},{"name":"healthcare-eval-harness","description":"Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures. Use when a healthcare deployment must be gated on patient-safety tests for ","files":["SKILL.md"]},{"name":"healthcare-phi-compliance","description":"Protected Health Information (PHI) and PII compliance patterns for healthcare applications: data classification, row-level access control, tamper-proof audit trails, schema tagging, and common leak vectors such as logs, URLs, and browser storage. Use when code touches patient or clinician data, when","files":["SKILL.md"]},{"name":"helcim-automation","description":"Automate Helcim tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"helloleads-automation","description":"Automate Helloleads tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"helm-chart-scaffolding","description":"Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.","files":["SKILL.md","references/chart-structure.md","references/details.md","scripts/validate-chart.sh"]},{"name":"helm-charts","description":"Create, manage, and deploy Helm charts for Kubernetes package management. Build reusable chart templates, manage releases, configure values, and use Helm repositories. Use when packaging Kubernetes applications or managing K8s deployments with Helm.","files":["SKILL.md","references/helm-commands.md"]},{"name":"helpwise-automation","description":"Automate Helpwise tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"here-automation","description":"Automate Here tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hermes-imports","description":"Convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths.","files":["SKILL.md"]},{"name":"hermes-tweet","description":"Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated private or state-changing operations. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, a","files":["SKILL.md","references/endpoint-contract.md","references/workflows.md"]},{"name":"hexagonal-architecture","description":"Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled ","files":["SKILL.md"]},{"name":"heyreach-automation","description":"Automate Heyreach tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"heyzine-automation","description":"Automate Heyzine tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hf-cloud-aws-context-discovery","description":"Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user ","files":["SKILL.md"]},{"name":"hf-cloud-python-env-setup","description":"Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `bot","files":["SKILL.md","requirements.txt","scripts/check_versions.py","scripts/setup_env.py"]},{"name":"hf-cloud-sagemaker-deployment-planner","description":"Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like \"deploy a model\", \"host this LLM on AWS\", \"serve this embedding model\", \"deploy a reranker\", \"deploy a t","files":["SKILL.md"]},{"name":"hf-cloud-sagemaker-iam-preflight","description":"Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are a","files":["SKILL.md","references/minimum-permissions.json","references/trust-policy.json","scripts/check_role.py","scripts/create_role.py"]},{"name":"hf-cloud-sagemaker-production-defaults","description":"Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image U","files":["SKILL.md","references/deployment-template.md","scripts/_common.py","scripts/deploy.py","scripts/deploy_async.py","scripts/deploy_ic.py","scripts/invoke_endpoint.py","scripts/teardown.py"]},{"name":"hf-cloud-serving-image-selection","description":"Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says \"deploy this LLM\", \"host this HuggingFace model\", \"serve this f","files":["SKILL.md","references/model-to-image.md","scripts/mirror_image.py"]},{"name":"hf-mcp","description":"Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.","files":["SKILL.md"]},{"name":"hf-mem","description":"Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub","files":["SKILL.md"]},{"name":"highergov-automation","description":"Automate Highergov tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"highlevel-automation","description":"Automate Highlevel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hipaa-compliance","description":"HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.","files":["SKILL.md"]},{"name":"histolab","description":"Extracts and preprocesses whole-slide histology image tiles with Histolab. Use for WSI inspection, tissue masks, random/grid/score-based tile extraction, H&E stain normalization, and tile dataset preparation. For multiplexed imaging or deep learning inference pipelines, use pathml.","files":["SKILL.md","references/core_capabilities.md","references/filters_preprocessing.md","references/slide_management.md","references/tile_extraction.md","references/tissue_masks.md","references/typical_workflows.md","references/visualization.md"]},{"name":"holoscan-install-conda","description":"Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"holoscan-install-container","description":"Install Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"holoscan-setup","description":"Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/check_conda.sh","scripts/check_ngc_image.sh","skill-card.md"]},{"name":"homelab-network-readiness","description":"Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access. Use when planning or reviewing home network changes — splitting a flat network into trusted, IoT, guest, or management VLANs, moving DHCP to a local resolver, or adding ","files":["SKILL.md"]},{"name":"homelab-network-setup","description":"Practical home and homelab network planning for gateways, switches, access points, IP ranges, DHCP reservations, DNS, cabling, and common beginner mistakes. Use when planning or fixing a home or homelab network — gateway, switch, AP, IP ranges, DHCP, DNS, or cabling.","files":["SKILL.md"]},{"name":"homelab-vlan-segmentation","description":"Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Use when splitting a home network into IoT, guest, trusted, and server VLANs on UniFi, pfSense/OPNse","files":["SKILL.md"]},{"name":"honeybadger-automation","description":"Automate Honeybadger tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"honeyhive-automation","description":"Automate Honeyhive tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hono-routing","description":"Type-safe Hono APIs with routing, middleware, RPC. Use for request validation, Zod/Valibot validators, or encountering middleware type inference, validation hook, RPC errors.","files":["SKILL.md","references/common-patterns.md","references/middleware-catalog.md","references/rpc-guide.md","references/setup-guide.md","references/top-errors.md","references/validation-libraries.md","scripts/check-versions.sh","templates/context-extension.ts","templates/error-handling.ts","templates/middleware-composition.ts","templates/package.json","templates/routing-patterns.ts","templates/rpc-pattern.ts","templates/validation-valibot.ts","templates/validation-zod.ts"]},{"name":"hook-development","description":"This skill should be used when the user asks to \"create a hook\", \"add a PreToolUse/PostToolUse/Stop hook\", \"validate tool use\", \"implement prompt-based hooks\", \"use ${CLAUDE_PLUGIN_ROOT}\", \"set up event-driven automation\", \"block dangerous commands\", or mentions hook events (PreToolUse, PostToolUse,","files":["SKILL.md","examples/load-context.sh","examples/validate-bash.sh","examples/validate-write.sh","references/advanced.md","references/migration.md","references/patterns.md","scripts/README.md","scripts/hook-linter.sh","scripts/test-hook.sh","scripts/validate-hook-schema.sh"]},{"name":"hookdeck-automation","description":"Automate Hookdeck tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hookify-rules","description":"Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such","files":["SKILL.md"]},{"name":"hotspotsystem-automation","description":"Automate Hotspotsystem tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hqq-quantization","description":"Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"hsb-ip-create-top","description":"Create or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/fixed-format.md","references/handoff-contract.md","references/source-policy.md","skill-card.md"]},{"name":"hsb-ip-def","description":"Generate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.","files":["SKILL.md","BENCHMARK.md","README.md","assets/metadata/corpus-stats.json","assets/metadata/corpus.json","evals/evals.json","references/advanced-macros.md","references/archetypes.md","references/generate-workflow.md","references/init-reg-cookbook.md","references/macro-reference.md","references/script-usage.md","references/top-port-map.md","references/validation-rules.md","scripts/build_corpus_metadata.py","scripts/compare_defs.py","scripts/generate_def.py","scripts/lib/__init__.py","scripts/lib/emitter.py","scripts/lib/parser.py","scripts/lib/rules.py","scripts/validate_def.py","skill-card.md"]},{"name":"hsb-ip-packetizer","description":"Choose or explain HSB Sensor RX packetizer fields for HOLOLINK_def.svh. Do not use for full defs, validation, or runtime APB programming.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/handoff-contract.md","references/packetizer-architecture.md","references/packetizer-def-fields.md","skill-card.md"]},{"name":"html-to-image-automation","description":"Automate Html To Image tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hud","description":"Configure HUD display options (layout, presets, display elements)","files":["SKILL.md"]},{"name":"hugging-science","description":"Discovers and evaluates scientific datasets, models, methodology posts, and Spaces through the Hugging Science catalog. Used when selecting scientific ML resources in biology, chemistry, genomics, materials, climate, physics, astronomy, medicine, mathematics, protein design, single-cell analysis, or","files":["SKILL.md","references/flagship-resources.md","references/review.md","references/topics-and-slugs.md","references/using-datasets.md","references/using-models.md","references/using-spaces.md","scripts/fetch_catalog.py"]},{"name":"huggingface-accelerate","description":"Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.","files":["SKILL.md","references/custom-plugins.md","references/megatron-integration.md","references/performance.md"]},{"name":"huggingface-best","description":"Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: \"best model for X\", \"what model should I use for\", \"top models for [task]\", \"which model runs on my laptop/machine/dev","files":["SKILL.md"]},{"name":"huggingface-community-evals","description":"Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.","files":["SKILL.md","examples/USAGE_EXAMPLES.md","scripts/inspect_eval_uv.py","scripts/inspect_vllm_uv.py","scripts/lighteval_vllm_uv.py"]},{"name":"huggingface-datasets","description":"Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.","files":["SKILL.md"]},{"name":"huggingface-gradio","description":"Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.","files":["SKILL.md","examples.md"]},{"name":"huggingface-local-models","description":"Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.","files":["SKILL.md","references/hardware.md","references/hub-discovery.md","references/quantization.md"]},{"name":"huggingface-lora-space-builder","description":"Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base mode","files":["SKILL.md","references/adapting-to-the-lora.md","references/base-models/krea-2.md","references/base-models/ltx.md","references/base-models/qwen-image.md","references/creative-mode.md","references/tasks.md","references/zerogpu-and-publishing.md"]},{"name":"huggingface-paper-publisher","description":"Publish and manage research papers on Hugging Face Hub. 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Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix ","files":["SKILL.md","README.md","references/3d-cuda-extensions.md","references/3d-generation.md","references/3d-gsplat.md","references/3d-models.md","references/3d-outputs.md","references/buckets.md","references/debugging.md","references/gradio.md","references/grants.md","references/inference-providers.md","references/known-errors.md","references/requirements.md","references/zerogpu.md"]},{"name":"huggingface-tokenizers","description":"Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. 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C","files":["SKILL.md","references/finetune_sam2_trainer.md","references/hub_saving.md","references/image_classification_training_notebook.md","references/object_detection_training_notebook.md","references/reliability_principles.md","references/timm_trainer.md","scripts/dataset_inspector.py","scripts/estimate_cost.py","scripts/image_classification_training.py","scripts/object_detection_training.py","scripts/sam_segmentation_training.py"]},{"name":"humanitix-automation","description":"Automate Humanitix tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"humanize-writing","description":"Rewrites AI-sounding text so it reads like a human wrote it. Use when the user says 'sounds like AI/ChatGPT,' 'too robotic,' or 'humanize this.' 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Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.","files":["SKILL.md","references/details.md"]},{"name":"hypeauditor-automation","description":"Automate Hypeauditor tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hyperbrowser-automation","description":"Automate Hyperbrowser tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hyperise-automation","description":"Automate Hyperise tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"hyperpod-issue-report","description":"Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node fai","files":["SKILL.md","references/collection-details.md","references/troubleshooting.md","scripts/hyperpod_issue_report.py"]},{"name":"hyperpod-performance-debugger","description":"Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyper","files":["SKILL.md","references/perf-details.md","scripts/perf-snapshot.sh"]},{"name":"hyperpod-version-checker","description":"Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting ","files":["SKILL.md","scripts/hyperpod_check_versions.sh"]},{"name":"hypothesis-generation","description":"Formulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"i18n-sync","description":"Translate and synchronize application JSON locale files using source-key usage, project terminology, and focused validation. Use when adding keys or languages, updating source copy, or reviewing missing and stale translations.","files":["SKILL.md"]},{"name":"i4h-lerobot-viz","description":"Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow","description":"Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/repo-map.md","skill-card.md"]},{"name":"i4h-workflow-create","description":"Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-dataset-annotate","description":"Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-dataset-convert","description":"Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. Use for conversion; do not use for replay, augmentation, or raw-data repair.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-dataset-mimic","description":"Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-dataset-replay","description":"Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-dataset-teleop","description":"Record demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-e2e","description":"Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-finetune","description":"Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-scene-edit","description":"Edit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/existing-scene-assets.md","references/g1-reach-and-contact.md","references/isaacsim-skill-routing.md","skill-card.md"]},{"name":"i4h-workflow-setup","description":"Preflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-train-rl","description":"Use when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","skill-card.md"]},{"name":"i4h-workflow-validate","description":"Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"iam-helper-for-policy-management","description":"Streamlines the creation, modification, and management of IAM allow policies (v1) and deny policies (v2). Manages access control across Resource Manager resources (Organization, Folder, Project) and individual resources. Use when creating, updating, listing, or deleting IAM allow policies or deny po","files":["SKILL.md","references/v1-allow-policies.md","references/v2-deny-policies.md"]},{"name":"iam-helper-for-policy-simulator","description":"Safely simulates and applies Identity and Access Management (IAM) v1 (Allow) policy changes on Google Cloud. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating or applying IAM v1 a","files":["SKILL.md","scripts/analyze_simulation.py"]},{"name":"iam-helper-for-privileged-access-management","description":"Manages the end-to-end lifecycle of on-demand, temporary access using Privileged Access Manager (PAM). Use when a user asks to create, read, update, or delete PAM entitlements, request temporary access, or approve/deny pending PAM grants. Do NOT use for permanent IAM policy bindings, troubleshooting","files":["SKILL.md","assets/entitlement_template.yaml","references/approver.md","references/requester.md","scripts/list_entitlements_hierarchy.sh","scripts/search_eligible_entitlements.sh"]},{"name":"iam-helper-for-troubleshooting","description":"Diagnoses, remediates, and manages Identity and Access Management (IAM) access issues on Google Cloud. Supports two distinct operational modes: (1) Requester Flow for developers encountering access denials (capturing error context, self-service PAM JIT activations, elevated developer self-remediatio","files":["SKILL.md","references/guardrails.md","references/mcp-usage.md","references/requester.md","references/resolver.md","scripts/least_privileged_role.py","scripts/troubleshooting_error_id.py"]},{"name":"icims-talent-cloud-automation","description":"Automate Icims Talent Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"icypeas-automation","description":"Automate Icypeas tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"idea-refine","description":"Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on \"ideate\", \"refine th","files":["SKILL.md","examples.md","frameworks.md","refinement-criteria.md","scripts/idea-refine.sh"]},{"name":"idea-scale-automation","description":"Automate Idea Scale tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"idempotency-handling","description":"Idempotent API operations with idempotency keys, Redis caching, DB constraints. Use for payment systems, webhook retries, safe retries, or encountering duplicate processing, race conditions, key expiry errors.","files":["SKILL.md"]},{"name":"identity-access-management","description":"Set up and manage SSO, SCIM provisioning, and MFA for startup teams using Google Workspace, Okta, or Azure AD. Use when centralizing authentication, onboarding SSO, or meeting compliance requirements.","files":["SKILL.md"]},{"name":"identitycheck-automation","description":"Automate Identitycheck tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ignisign-automation","description":"Automate Ignisign tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ima-dai-sdk","description":"Integrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps. Use when: - A video player needs to load and play HLS or DASH streams in web apps, Android apps, iOS apps, tvOS apps, Cast (CAF) receivers, or Roku channels. - The app n","files":["SKILL.md","references/android-ImaServerSideAdInsertionMediaSource-guide.md","references/cast-StreamManager-guide.md","references/ios-IMAStreamRequest-guide.md","references/roku-StreamManager-guide.md","references/web-StreamManager-guide.md"]},{"name":"ima-sdk-client-side","description":"Supports Interactive Media Ads (IMA) SDK. Use this skill for client-side ad insertion when you are requesting video ads for websites, apps, TVs or other platforms using VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI.","files":["SKILL.md","references/ima-sdk-android-guide.md","references/ima-sdk-ios-guide.md","references/ima-sdk-tvos-guide.md","references/ima-sdk-web-guide.md","references/ima-sdk-web-iframe-mode.md","references/ima-sdk-web-mobile-safari.md"]},{"name":"image-annotations","description":"Annotate screenshots, diagrams, and images with callout rectangles, arrows, labels, and color-coded highlights using PIL. Includes rules for animated GIF annotations with timing and pacing.","files":["SKILL.md"]},{"name":"image-enhancer","description":"Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.","files":["SKILL.md"]},{"name":"image-optimization","description":"Optimizes images for web performance using modern formats, responsive techniques, and lazy loading strategies. Use when improving page load times, implementing responsive images, or preparing assets for production deployment.","files":["SKILL.md"]},{"name":"imagekit-io-automation","description":"Automate Imagekit IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"imaging-data-commons","description":"Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; ","files":["SKILL.md","references/bigquery_guide.md","references/cli_guide.md","references/clinical_data_guide.md","references/cloud_storage_guide.md","references/dicomweb_guide.md","references/digital_pathology_guide.md","references/index_tables_guide.md","references/licensing_and_citation.md","references/mcp_guide.md","references/parquet_access_guide.md","references/rest_api_guide.md","references/sql_patterns.md","references/use_cases.md","scripts/check_version.py"]},{"name":"imgbb-automation","description":"Automate Imgbb tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"imgix-automation","description":"Automate Imgix tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"impeccable","description":"fixture","files":["SKILL.md"]},{"name":"impediment-prioritization","description":"Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, ris","files":["SKILL.md","references/scoring-rubric.md"]},{"name":"implement","description":"Implement a piece of work based on a spec or set of tickets.","files":["SKILL.md","agents/openai.yaml"]},{"name":"implement-spec","description":"Implement the result of /to-spec and /to-tickets in code.","files":["SKILL.md","agents/openai.yaml"]},{"name":"implementing-llms-litgpt","description":"Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction l","files":["SKILL.md","references/custom-models.md","references/distributed-training.md","references/supported-models.md","references/training-recipes.md"]},{"name":"import-infrastructure-as-code","description":"Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import add","files":["SKILL.md"]},{"name":"improve-codebase-architecture","description":"Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.","files":["SKILL.md","HTML-REPORT.md","agents/openai.yaml"]},{"name":"incident-management","description":"Implement incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews. Use when managing production incidents.","files":["SKILL.md"]},{"name":"incident-postmortem","description":"Use when an outage, production incident, or significant service degradation has occurred and the team needs to write a structured blameless post-mortem. Triggers on phrases like \"write a post-mortem\", \"incident review\", \"what went wrong\", \"outage report\", \"root cause analysis\", or \"RCA\". Covers time","files":["SKILL.md"]},{"name":"incident-runbook-templates","description":"Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and di","files":["SKILL.md","references/details.md"]},{"name":"incremental-implementation","description":"Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or whe","files":["SKILL.md"]},{"name":"influxdb-cloud-automation","description":"Automate Influxdb Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"infrastructure","description":"Ship Kubernetes, host, container, and cloud-provider telemetry into Grafana Cloud — `k8s-monitoring` Helm chart for K8s clusters (metrics + logs + traces + events + cost), Alloy `prometheus.exporter.unix` for Linux hosts, cAdvisor + Docker discovery for containers, and CloudWatch / Azure Monitor / G","files":["SKILL.md","references/clouds-and-hosts.md","references/k8s-monitoring-values.md"]},{"name":"ingesting-into-data-lake","description":"Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket","files":["SKILL.md","references/athena-loading.md","references/bigquery-ingest.md","references/catalog-migration.md","references/ctas-patterns.md","references/data-quality-validation.md","references/dynamodb-ingest.md","references/error-handling.md","references/format-specific-loading.md","references/glue-etl-migration.md","references/glue-job-config.md","references/glue-job-scripts.md","references/iceberg-catalog-config-and-usage.md","references/incremental-loading.md","references/jdbc-ingest.md","references/jdbc-performance.md","references/jdbc-schema-discovery.md","references/local-upload.md","references/migration-troubleshooting.md","references/migration-validation.md","references/s3-files.md","references/schema-evolution.md","references/snowflake-ingest.md","references/testing-and-scheduling.md","references/type-transformations.md","references/upload-options.md"]},{"name":"inherit-legacy-style","description":"Prevent AI style drift on legacy projects by scanning the codebase for implicit conventions, resolving conflicts with the operator one at a time, and writing an enforceable .ai-style-rules.md (Golden Files, naming rules, DONTs) plus an optional CLAUDE.md hook. Use when onboarding an AI agent onto a ","files":["SKILL.md"]},{"name":"init","description":"Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instru","files":["SKILL.md","tile.json"]},{"name":"insighto-ai-automation","description":"Automate Insighto AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"inspira-ui","description":"120+ Vue/Nuxt animated components with TailwindCSS v4, motion-v, GSAP, Three.js. Use for hero sections, 3D effects, interactive backgrounds, or encountering setup, CSS variables, motion-v integration errors.","files":["SKILL.md","references/CODE_PATTERNS.md","references/SETUP.md","references/TROUBLESHOOTING.md","references/components-list.md","scripts/setup-inspira.sh","scripts/verify-setup.sh"]},{"name":"instacart-automation","description":"Automate Instacart tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"install-atk","description":"Install or update the M365 Agents Toolkit (ATK) CLI and VS Code extension. Triggers: \"install atk\", \"update atk\", \"install agents toolkit\", \"update agents toolkit\", \"install the toolkit\", \"setup atk\", \"get atk\", \"install atk cli\", \"install atk extension\", \"install atk vsix\", \"update the vs code exte","files":["SKILL.md"]},{"name":"instructor","description":"Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library","files":["SKILL.md","references/examples.md","references/providers.md","references/validation.md"]},{"name":"integrate-context-matic","description":"Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement feature","files":["SKILL.md"]},{"name":"integration-android","description":"PostHog integration for Android applications","files":["SKILL.md","references/EXAMPLE.md","references/android.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-angular","description":"PostHog integration for Angular applications","files":["SKILL.md","references/EXAMPLE.md","references/angular.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-astro-hybrid","description":"PostHog integration for Astro hybrid rendering with both static and server-rendered pages","files":["SKILL.md","references/EXAMPLE.md","references/astro.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-astro-ssr","description":"PostHog integration for server-rendered Astro applications with API routes","files":["SKILL.md","references/EXAMPLE.md","references/astro.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-astro-static","description":"PostHog integration for static Astro sites using SSG","files":["SKILL.md","references/EXAMPLE.md","references/astro.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-astro-view-transitions","description":"PostHog integration for Astro with ClientRouter view transitions","files":["SKILL.md","references/EXAMPLE.md","references/astro.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md"]},{"name":"integration-django","description":"PostHog integration for Django applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/django.md","references/identify-users.md"]},{"name":"integration-expo","description":"PostHog integration for Expo applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react-native.md"]},{"name":"integration-fastapi","description":"PostHog integration for FastAPI applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/python.md"]},{"name":"integration-flask","description":"PostHog integration for Flask applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/flask.md","references/identify-users.md"]},{"name":"integration-laravel","description":"PostHog integration for Laravel applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/laravel.md"]},{"name":"integration-nextjs-app-router","description":"PostHog integration for Next.js App Router applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/next-js.md"]},{"name":"integration-nextjs-pages-router","description":"PostHog integration for Next.js Pages Router applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/next-js.md"]},{"name":"integration-nuxt-4","description":"PostHog integration for Nuxt 4 applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/nuxt-js.md"]},{"name":"integration-python","description":"PostHog integration for any Python application using the Python SDK","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/posthog-python.md","references/python.md"]},{"name":"integration-react-react-router-6","description":"PostHog integration for React Router v6 applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react-router-v6.md"]},{"name":"integration-react-react-router-7-data","description":"PostHog integration for React Router v7 - Data mode applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react-router-v7-data-mode.md"]},{"name":"integration-react-react-router-7-declarative","description":"PostHog integration for React Router v7 - Declarative mode applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react-router-v7-declarative-mode.md"]},{"name":"integration-react-react-router-7-framework","description":"PostHog integration for React Router v7 - Framework mode applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react-router-v7-framework-mode.md"]},{"name":"integration-react-vite","description":"PostHog integration for React applications built with Vite (no router)","files":["SKILL.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/react.md"]},{"name":"integration-ruby","description":"PostHog integration for any Ruby application using the Ruby SDK","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/ruby.md"]},{"name":"integration-ruby-on-rails","description":"PostHog integration for Ruby on Rails applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/ruby-on-rails.md","references/ruby.md"]},{"name":"integration-sveltekit","description":"PostHog integration for SvelteKit applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/svelte.md"]},{"name":"integration-swift","description":"PostHog integration for Swift iOS and macOS applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/ios.md"]},{"name":"integration-tanstack-start","description":"PostHog integration for TanStack Start full-stack applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/tanstack-start.md"]},{"name":"integration-vue-3","description":"PostHog integration for Vue 3 applications","files":["SKILL.md","references/EXAMPLE.md","references/basic-integration-1.0-begin.md","references/basic-integration-1.1-edit.md","references/basic-integration-1.2-revise.md","references/basic-integration-1.3-conclude.md","references/identify-users.md","references/vue-js.md"]},{"name":"intelliprint-automation","description":"Automate Intelliprint tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"intent","description":"Shipyard's internal requirements intake for non-engineer contributors (support/ops) — turn a pasted chat log or verbal problem report into a five-section intent.md through numbered batch questioning with a completion gate, walk it through tracker review with harbor's four records, and hand the accep","files":["SKILL.md"]},{"name":"intent-driven-development","description":"Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requiremen","files":["SKILL.md"]},{"name":"interaction-design","description":"Design and implement microinteractions, motion design, transitions, and user feedback patterns. Use when adding polish to UI interactions, implementing loading states, or creating delightful user experiences.","files":["SKILL.md","references/animation-libraries.md","references/microinteraction-patterns.md","references/scroll-animations.md"]},{"name":"interface-review","description":"Reviews a branch, pull request or uncommitted change for the interface problems it introduced or regressed, across accessibility, layout, writing, typography, color and UI.","files":["SKILL.md","agents/openai.yaml","removed-signals.md","scope-resolution.md"]},{"name":"internal-comms","description":"A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident rep","files":["SKILL.md","LICENSE.txt","examples/3p-updates.md","examples/company-newsletter.md","examples/faq-answers.md","examples/general-comms.md"]},{"name":"internationalization-i18n","description":"Implements multi-language support using i18next, gettext, or Intl API with translation workflows and RTL support. Use when building multilingual applications, handling date/currency formatting, or supporting right-to-left languages.","files":["SKILL.md","references/frameworks.md"]},{"name":"interview-me","description":"Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified (\"build me X\" without \"for whom\" or \"why now\"), when the user explicitly invo","files":["SKILL.md"]},{"name":"interzoid-automation","description":"Automate Interzoid tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"inventory-demand-planning","description":"Codified demand planning expertise for multi-location retailers: demand forecasting method selection, ABC/XYZ segmentation, safety stock and reorder-point optimization, promotional lift and post-promo dip estimation, and seasonal transition and markdown timing. Use when forecasting demand, setting s","files":["SKILL.md"]},{"name":"investigate-first","description":"Diagnose ambiguous failures before editing. Use for unknown causes, intermittent behavior, performance regressions, or investigations needing evidence-ranked hypotheses.","files":["SKILL.md","agents/openai.yaml"]},{"name":"investor-materials","description":"Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fu","files":["SKILL.md"]},{"name":"investor-outreach","description":"Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.","files":["SKILL.md"]},{"name":"invoice-organizer","description":"Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.","files":["SKILL.md"]},{"name":"ios-app-lifecycle","description":"Configure AppDelegate, SceneDelegate, deep linking, and background tasks. Use when configuring iOS app lifecycle, deep linking, or background task scheduling.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-architecture","description":"Apply MVVM, Coordinators, and Clean Architecture (VIP/VIPER) in iOS apps. Use when applying MVVM, Coordinators, or VIP/VIPER architecture in iOS apps.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-clean","description":"Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)","files":["SKILL.md"]},{"name":"ios-debugger-agent","description":"Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.","files":["SKILL.md","agents/openai.yaml"]},{"name":"ios-dependency-injection","description":"Configure protocol-based DI with property wrappers and Factory/Swinject. Use when setting up dependency injection or factory patterns in iOS.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-deployment","description":"Automate provisioning, signing, and deployment with Fastlane. Use when provisioning iOS apps, managing code signing, or automating deployments with Fastlane.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-design-review","description":"Visual design audit for iOS apps on real hardware. (gstack)","files":["SKILL.md"]},{"name":"ios-design-system","description":"Enforce design token usage in SwiftUI apps using iOS Human Interface Guidelines. Use when implementing design tokens, colors, or typography in SwiftUI.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"ios-fix","description":"Autonomous iOS bug fixer. (gstack)","files":["SKILL.md"]},{"name":"ios-icon-gen","description":"Generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.","files":["SKILL.md","scripts/iconify_gen.sh"]},{"name":"ios-localization","description":"Implement String Catalogs, L10n workflows, and asset management for iOS. Use when adding multi-language support using iOS String Catalogs or L10n workflows.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-navigation","description":"SwiftUI navigation and deep linking using NavigationStack and Universal Links. Use when implementing NavigationStack or Universal Links deep linking in iOS.","files":["SKILL.md","evals/evals.json","references/swiftui-navigation.md"]},{"name":"ios-networking","description":"Build API clients with URLSession, Alamofire, and Codable. Use when implementing URLSession networking, Alamofire, or API clients in iOS.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-notifications","description":"Push notifications for iOS using UserNotifications framework and APNS. Use when integrating APNS push notifications in iOS applications.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-performance","description":"Profile and optimize iOS apps with Instruments, memory management, and rendering techniques. Use when profiling iOS apps with Instruments or optimizing memory and rendering.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-state-management","description":"Implement reactive state with Combine, Observation framework, and UDF patterns. Use when implementing state management with Combine, @Observable, or reactive patterns in iOS.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ios-swiftui","description":"Build declarative UI and manage data flow with SwiftUI in iOS. Use when building declarative SwiftUI views or managing data flow with property wrappers.","files":["SKILL.md","evals/evals.json"]},{"name":"ios-sync","description":"Regenerate the iOS debug bridge against the latest upstream gstack templates. (gstack)","files":["SKILL.md"]},{"name":"ios-ui-navigation","description":"Implement UIKit navigation, Auto Layout, and Apple Human Interface Guidelines in iOS. Use when implementing UIKit navigation, Auto Layout constraints, or HIG compliance.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"ip2location-automation","description":"Automate Ip2location tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ip2location-io-automation","description":"Automate Ip2location IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ip2proxy-automation","description":"Automate Ip2proxy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ip2whois-automation","description":"Automate Ip2whois tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ipdata-co-automation","description":"Automate Ipdata co tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ipinfo-io-automation","description":"Automate Ipinfo IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"iqair-airvisual-automation","description":"Automate Iqair Airvisual tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"iris-development","description":"Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. ","files":["SKILL.md","references/ltm-bulk-create.md","references/ltm-organize.md","references/ltm-search.md","references/promotion-overview.md","references/session-add-event.md","references/session-retrieval.md","references/session-when-to-use.md","references/setup-auth-token.md","references/setup-cloud-service.md"]},{"name":"iso27001-compliance","description":"Implement ISO 27001 Information Security Management System. Configure ISMS controls and risk management. Use when implementing enterprise security frameworks.","files":["SKILL.md"]},{"name":"issue-fields-migration","description":"Bulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say \"migrate my labels to issue fields\", \"migrate project fields to issue fields\", \"convert labels to issue fields\", \"copy project field values ","files":["SKILL.md","references/issue-fields-api.md","references/labels-api.md","references/projects-api.md"]},{"name":"istio-traffic-management","description":"Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.","files":["SKILL.md"]},{"name":"iterate-pr","description":"Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Use for PR CI failures, review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.","files":["SKILL.md","SPEC.md","agents/openai.yaml","scripts/fetch_pr_checks.py","scripts/fetch_pr_feedback.py","scripts/monitor_pr_checks.py","scripts/reply_to_thread.py"]},{"name":"iterative-retrieval","description":"Pattern for progressively refining context retrieval to solve the subagent context problem. Use when a subagent lacks the context it needs and retrieval must be refined across passes.","files":["SKILL.md"]},{"name":"ito-baskets","description":"Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a bas","files":["SKILL.md","agents/openai.yaml","scripts/ito-baskets.js"]},{"name":"ito-compute","description":"Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rat","files":["SKILL.md","agents/openai.yaml"]},{"name":"ito-inference","description":"Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, o","files":["SKILL.md"]},{"name":"ito-training","description":"Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest. Use after ito-compute has booked GPU nodes and the user wants pre-training, fine-tuning, or RL on that metal. ECC implemen","files":["SKILL.md"]},{"name":"jasmine-skill","description":"Generates Jasmine tests in JavaScript. BDD-style framework with spies and async support. Use when user mentions \"Jasmine\", \"jasmine.createSpy\", \"toHaveBeenCalled\". Triggers on: \"Jasmine\", \"jasmine test\", \"createSpy\", \"Jasmine spec\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"java-add-graalvm-native-image-support","description":"GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best practices.","files":["SKILL.md"]},{"name":"java-architect","description":"Use when building, configuring, or debugging enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming. Invoke to implement WebFlux endpoints, optimize JPA queries and database performance, configure Spring Security with OAuth2/JWT, or resolve authentication issues an","files":["SKILL.md","references/jpa-optimization.md","references/reactive-webflux.md","references/spring-boot-setup.md","references/spring-security.md","references/testing-patterns.md"]},{"name":"java-best-practices","description":"Apply core Effective Java patterns for robust, maintainable code. Use when applying SOLID principles, choosing between inheritance and composition, refactoring Java code smells, or reviewing class design.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"java-coding-standards","description":"Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions. Use when writing or reviewing Java in a Spring Boot or Quarkus service.","files":["SKILL.md"]},{"name":"java-concurrency","description":"Implement modern concurrency with Virtual Threads and Structured Concurrency in Java. Use when implementing Java Virtual Threads (Java 21), Structured Concurrency with StructuredTaskScope, CompletableFuture pipelines, or debugging race conditions.","files":["SKILL.md","evals/evals.json","references/structured-concurrency.md"]},{"name":"java-docs","description":"Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.","files":["SKILL.md"]},{"name":"java-helidon","description":"Get best practices for developing applications with Helidon 4 (SE and MP). Use when working with Helidon SE or Helidon MP, HttpService routing, Helidon DB Client, MicroProfile Config, Helidon Security, or Helidon testing in Java 21+ projects.","files":["SKILL.md"]},{"name":"java-junit","description":"Get best practices for JUnit 5 unit testing, including data-driven tests","files":["SKILL.md"]},{"name":"java-language","description":"Modern Java 21+ language standards including Records, Pattern Matching, and Virtual Threads. Use for Java language constructs or Java-to-Java upgrades; defer Kotlin, tests, formatting/build tools, CompletableFuture, builder patterns, and isolated null-handling questions.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"java-mcp-server-generator","description":"Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.","files":["SKILL.md"]},{"name":"java-refactoring-extract-method","description":"Refactoring using Extract Methods in Java Language","files":["SKILL.md"]},{"name":"java-refactoring-remove-parameter","description":"Refactoring using Remove Parameter in Java Language","files":["SKILL.md"]},{"name":"java-springboot","description":"Get best practices for developing applications with Spring Boot.","files":["SKILL.md"]},{"name":"java-testing","description":"Testing standards using JUnit 5, AssertJ, Mockito, Cucumber, and Spring Boot integration tests for Java. Use when writing or reviewing Java test behavior, including parallel execution and BDD; defer Kotlin-only tests, virtual-thread test infrastructure, and coverage-report/tooling configuration.","files":["SKILL.md","evals/evals.json","references/junit-template.md"]},{"name":"java-tooling","description":"Configure Maven, Gradle, and static analysis for Java projects. Use for Java-only build and quality tooling such as Spotless, Checkstyle, SpotBugs, SonarLint, JDK versions, and Java service Dockerfiles; defer Kotlin, Android, Flutter, and GitHub Actions-specific configuration.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"javascript-best-practices","description":"Idiomatic JavaScript patterns and conventions for maintainable existing code. Use when reviewing or refactoring JavaScript language patterns; defer project scaffolding, dependency setup, and tool configuration.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"javascript-language","description":"Modern JavaScript (ES2022+) patterns for clean, maintainable code. Use when working with modern JavaScript features like optional chaining, nullish coalescing, or ESM.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"javascript-pro","description":"Writes, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs. Use when building vanilla JavaScript applications, implementing Promise-based async flows, optimising browser or Node.js performance, working with Web Workers or F","files":["SKILL.md","references/async-patterns.md","references/browser-apis.md","references/modern-syntax.md","references/modules.md","references/node-essentials.md"]},{"name":"javascript-testing-patterns","description":"Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD work","files":["SKILL.md","references/advanced-testing-patterns.md"]},{"name":"javascript-tooling","description":"Configure development tools, linting, formatting, and test runners for existing JavaScript projects. Use for ESLint, Prettier, Jest, or equivalent tool setup; defer application implementation and generic project scaffolding.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"javascript-typescript-jest","description":"Best practices for writing JavaScript/TypeScript tests using Jest, including mocking strategies, test structure, and common patterns.","files":["SKILL.md"]},{"name":"javax-to-jakarta-migration","description":"Migrate Java code from javax.* to jakarta.* namespace. Use when upgrading to Tomcat 11, Jakarta EE 10, or when javax imports are detected in the codebase.","files":["SKILL.md"]},{"name":"jest-generator","description":"Generate Jest unit tests for JavaScript/TypeScript with mocking, coverage. Use for JS/TS modules, React components, test generation, or encountering missing coverage, improper mocking, test structure errors.","files":["SKILL.md"]},{"name":"jest-skill","description":"Generates Jest unit and integration tests in JavaScript or TypeScript. Covers mocking, snapshots, async testing, and React component testing. Use when user mentions \"Jest\", \"describe/it/expect\", \"jest.mock\", \"toMatchSnapshot\". Triggers on: \"Jest\", \"expect().toBe()\", \"jest.mock\", \"snapshot test\", \"JS","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"jetson-customize-camera","description":"Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/camera-overlay-templates/README.md","references/csi-dt-bindings.md","references/overlay-template.md","references/procedure.md","skill-card.md"]},{"name":"jetson-customize-mgbe","description":"Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.","files":["SKILL.md","BENCHMARK.md","assets/questions.json","evals/evals.json","references/procedure.md","references/questions.json","skill-card.md"]},{"name":"jetson-customize-uphy","description":"Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/gotchas.md","references/procedure.md","references/run-state-sidecar.md","skill-card.md"]},{"name":"jetson-customize-usb","description":"Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/README.md","references/gotchas.md","references/procedure.md","references/run-state-sidecar.md","references/usb-architecture.md","references/usb-dt-bindings.md","skill-card.md"]},{"name":"jetson-derive-carrier","description":"Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-download-bsp","description":"Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, public_sources, x-tools, guides) for the active target. Use for Auto Setup; not for extraction or profile edits.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-generate-kb","description":"Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree. Use after init-image / init-source; not for editing profile fields.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-inference-mem-tune","description":"Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/recommend.py","skill-card.md"]},{"name":"jetson-init-source","description":"Set up the BSP source workspace: Linux_for_Tegra overlay tracker, bsp_sources, Crosstool-NG toolchain. Use after jetson-init-image; not for fetching inputs.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/branch-a-extraction.md","skill-card.md"]},{"name":"jetson-init-target","description":"Author a new Jetson target-platform profile (reference_devkit + optional custom_carrier) and update the active pointer. Use to create a target; not for switching existing profiles.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/gotchas.md","references/ui-samples.md","skill-card.md"]},{"name":"jetson-link-docs","description":"Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-package","description":"Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/ghcr-images.md","references/pypi-jetson-ai-lab.md","scripts/artifact_hints.sh","skill-card.md"]},{"name":"jetson-print-bsp-info","description":"Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-print-device-info","description":"Use when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-quick-start","description":"Entry skill for Jetson / IGX BSP customization. Asks one core click-to-select setup questionnaire and passes prefilled answers to downstream setup skills.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-set-target","description":"Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-speculative-decoding","description":"Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"jetson-video-benchmark","description":"Use when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and user media, or producing a clearly labeled documentation-derived planning estimate when representative media is absent. Al","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/benchmark-output-contract.md","references/benchmark-workflow.md","references/documented-performance-estimates.md","skill-card.md"]},{"name":"jetson-video-capability","description":"Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/capability-queries.md","references/surface-selection-contract.md","skill-card.md"]},{"name":"jetson-video-pipeline","description":"Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/buffer-sharing-and-synchronization.md","references/in-process-codec-boundaries.md","references/official-sample-contract.md","references/pipeline-workflow.md","skill-card.md"]},{"name":"jetson-video-recipe","description":"Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/recipes-knobs-and-constraints.md","references/recipes-workflow.md","skill-card.md"]},{"name":"jigsawstack-automation","description":"Automate Jigsawstack tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"jobnimbus-automation","description":"Automate Jobnimbus tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"jpa-patterns","description":"JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot. Use when designing JPA entities or relationships, or when a Hibernate query, transaction, or N+1 problem needs fixing.","files":["SKILL.md"]},{"name":"jumpcloud-automation","description":"Automate Jumpcloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"junglescout-automation","description":"Automate Junglescout tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"junit-5-skill","description":"Generates production-grade JUnit 5 unit and integration tests in Java. Covers assertions, parameterized tests, lifecycle hooks, mocking with Mockito, and nested tests. Use when user mentions \"JUnit\", \"JUnit 5\", \"@Test\", \"assertEquals\", \"Assertions\", \"Java unit test\". Triggers on: \"JUnit\", \"@Test\", \"","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"jupyter-notebook","description":"Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/experiment-patterns.md","references/notebook-structure.md","references/quality-checklist.md","references/tutorial-patterns.md","scripts/new_notebook.py"]},{"name":"k2","description":"Build and troubleshoot Cloudflare K2 or K2 Streams durable logs. Use for stream setup, producing from Workers or HTTP, configuring retention and inputs, and consuming through subscriptions.","files":["SKILL.md"]},{"name":"k6","description":"Generate, validate, and review k6 test scripts — load, stress, spike, soak, smoke, breakpoint, functional, and protocol. Covers HTTP, WebSocket, gRPC, browser, all executors, thresholds, checks, custom metrics, the k6-testing library, k6 Cloud execution, and the xk6 extension ecosystem; uses the xk6","files":["SKILL.md","SETUP.md","browser-best-practices.md","docs-guidance.md","examples/browser.js","examples/cloud.js","examples/crypto-encoding.js","examples/executors.js","examples/ext-crawler.js","examples/ext-dns.js","examples/ext-exec.js","examples/ext-faker.js","examples/ext-redis.js","examples/ext-sql.js","examples/ext-tcp.js","examples/ext-tls.js","examples/functional.js","examples/grpc.js","examples/html.js","examples/http.js","examples/metrics.js","examples/websocket.js"]},{"name":"k6-cloud-investigate-test","description":"Investigate a Grafana Cloud k6 test — describe the script, list run history, identify pass/fail status, pull raw metric time-series and log lines for one or more runs, and (if asked) safely edit the test script. Use when the user asks about a specific k6 cloud test or run, gives a `/a/k6-app/tests/<","files":["SKILL.md","references/worked-example.md"]},{"name":"k6-docs","description":"Write or review k6 documentation across the three k6 repositories - k6-DefinitelyTyped (TypeScript types), k6-docs (user documentation), and k6 (release notes / changelog). Applies k6 doc style conventions, generates TypeScript type definitions, drafts release notes, and validates examples by runnin","files":["SKILL.md","references/agent-browser-reference.md","references/checklists/documentation.md","references/checklists/release-notes.md","references/checklists/typescript.md","references/repository-structure.md","references/subagent-prompts.md","references/templates/documentation.md","references/templates/release-notes.md","references/testing-workflow.md","references/troubleshooting.md","references/typescript-patterns.md","references/workflows/review.md","references/workflows/write.md","scripts/check_agent_browser.sh","scripts/fetch_pr.sh","scripts/find_branch.sh","scripts/format_typescript.sh","scripts/test_typescript.sh","scripts/update_team_members.sh","scripts/validate_links.sh"]},{"name":"k6-manage","description":"Interact with Grafana Cloud k6 (GCk6) — manage load tests, test runs, scripts, projects, schedules, env vars, fetch metrics or logs, and run scripts locally — using the `gcx` CLI (or direct curl when gcx is unavailable). Use this skill whenever the user mentions a k6 cloud test or run, asks to list/","files":["SKILL.md","references/metrics.md"]},{"name":"k6-perf-test-website","description":"Use when the user wants to performance-test, load-test, or stress-test a public website end-to-end with k6. Produces a hybrid (protocol + browser) test suite, SLO-backed thresholds, a load-generator monitor sidecar, and a Grafana-side investigation playbook for backends the user owns. Triggers on \"p","files":["SKILL.md","assets/README.md","assets/package.json","assets/recordings/README.md","assets/recordings/scripts/recorder.template.js","assets/tests/run-all.sh","assets/tests/workflow.template/average.js","assets/tests/workflow.template/breakpoint.js","assets/tests/workflow.template/browser.js","assets/tests/workflow.template/from-har.js","assets/tests/workflow.template/protocol.js","assets/tests/workflow.template/smoke.js","assets/tests/workflow.template/soak.js","assets/tests/workflow.template/spike.js","assets/tests/workflow.template/stress.js","assets/tools/lg-monitor.sh","assets/tools/run-with-monitor.sh","references/functional-tests.md","references/gotchas.md","references/grafana-investigation.md","references/hybrid-load-design.md","references/lg-monitoring.md","references/local-vs-cloud.md","references/recording-with-playwright.md","references/reporting.md","references/slo-design.md","references/test-types.md","references/workflow-elicitation.md"]},{"name":"k6-test-maintenance","description":"Maintain and improve existing k6 test scripts. Covers threshold tightening based on trend data, version migration between k6 releases, auto-fixing tests when the underlying service changes, refactoring for cleanliness, and auditing scripts against current best practices from docs. Use when the user ","files":["SKILL.md","references/verification.md","references/workflows.md"]},{"name":"k6-trend-analysis","description":"Analyze Grafana Cloud k6 test run trends over time. Detects slow metric drift (e.g., P95 latency creeping up while still passing thresholds), computes headroom to thresholds, flags anomalies, and recommends threshold tightening. Use when the user asks about test performance trends, wants to know if ","files":["SKILL.md"]},{"name":"k8s-manifest-generator","description":"Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.","files":["SKILL.md","assets/configmap-template.yaml","assets/deployment-template.yaml","assets/service-template.yaml","references/deployment-spec.md","references/details.md","references/service-spec.md"]},{"name":"k8s-security-policies","description":"Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.","files":["SKILL.md","assets/network-policy-template.yaml","references/rbac-patterns.md"]},{"name":"kadoa-automation","description":"Automate Kadoa tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kaggle-automation","description":"Automate Kaggle tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kaleido-automation","description":"Automate Kaleido tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kanecli-skill","description":"Browser automation + AI test authoring via kane-cli - run browser objectives, generate & refine test scenarios/cases from a description, design requirement-linked test suites from a PRD/spec (assurance), parse NDJSON output, inspect logs, save runnable _test.md. Use for any task requiring a real bro","files":["SKILL.md","references/agent-config.md","references/assurance-parsing.md","references/assurance.md","references/cards.md","references/context-sync.md","references/debug.md","references/evidence.md","references/execution-controls.md","references/fair-evaluation.md","references/first-run.md","references/generate-parsing.md","references/generate.md","references/live-strip.md","references/mobile.md","references/objectives-cookbook.md","references/parallel.md","references/parsing.md","references/ready-check.md","references/setup-and-config.md","references/test-manager.md","references/testmd.md","references/testrun.md","scripts/preflight.ps1","scripts/preflight.sh"]},{"name":"keap-automation","description":"Automate Keap tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"keen-io-automation","description":"Automate Keen IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kermt-add-cmim-pretrain","description":"Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-convers","files":["SKILL.md","BENCHMARK.md","config/defaults_pretrain.json","evals/evals.json","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_pretrain_local.py","scripts/upgrade_to_hybrid.py","skill-card.md"]},{"name":"kermt-continue-pretrain","description":"Continue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model bundles, prepared data, logs, and checkpoints","files":["SKILL.md","BENCHMARK.md","config/defaults_pretrain.json","config/released_model.json","evals/evals.json","references/released-models.md","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/fetch_released_model.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_pretrain_local.py","skill-card.md"]},{"name":"kermt-embed","description":"Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles, per-readout .npy embeddings, canonical SMILES, and","files":["SKILL.md","BENCHMARK.md","config/defaults_embed.json","config/released_model.json","evals/evals.json","references/released-models.md","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/fetch_released_model.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_extract_embeddings.py","skill-card.md"]},{"name":"kermt-finetune","description":"Finetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Write model bundles, prepared data, logs, and train","files":["SKILL.md","BENCHMARK.md","config/defaults_finetune.json","config/released_model.json","evals/evals.json","references/released-models.md","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/fetch_released_model.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_finetune_local.py","skill-card.md"]},{"name":"kermt-infer","description":"Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the ke","files":["SKILL.md","BENCHMARK.md","config/defaults_inference.json","evals/evals.json","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_inference.py","skill-card.md"]},{"name":"kermt-monitor","description":"Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"kermt-pretrain-scratch","description":"Pretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long runs). Unlike kermt-continue-pretrain, no starting checkpoint is","files":["SKILL.md","BENCHMARK.md","config/defaults_pretrain.json","evals/evals.json","scripts/_utils.py","scripts/check_checkpoint.py","scripts/check_data.py","scripts/kermt_container.sh","scripts/prepare_data.py","scripts/run_pretrain_local.py","skill-card.md"]},{"name":"kermt-setup","description":"Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside the container. Every other kermt-* skill depends on this; invoke it first.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","scripts/kermt_container.sh","skill-card.md"]},{"name":"kibana-agent-builder","description":"Create and manage Kibana Agent Builder agents and custom tools. Use when asked to create, update, delete, test, or inspect agents or tools in Agent Builder, or when the user wants to understand what agents or tools already exist.","files":["SKILL.md","references/architecture-guide.md","references/use-cases.md"]},{"name":"kibana-alerting-rules","description":"Create and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.","files":["SKILL.md","references/connectors-actions-terraform.md","references/rule-types-reference.md"]},{"name":"kibana-anomaly-detection","description":"Elastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering \"what broke?\"/\"which entity?\"/RCA, \"why is score high/low?\"/renormalization, \"datafeed stopped\"/\"memory limit\"/hard_limit, or configuring ML anomaly detection jo","files":["SKILL.md","references/README.md","references/agent-builder-companion.md","references/anomaly-detection-functions.md","references/investigation-queries.md","references/job-creation-recipes.md","references/observability-anomaly-expert.md","references/protocols/investigation.md","references/score-reference.md","references/security-anomaly-expert.md","references/troubleshooting-reference.md","references/worked-example.md"]},{"name":"kibana-dashboards","description":"Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, or automate their deployment.","files":["SKILL.md","assets/bar-chart-esql.json","assets/dashboard-basic.json","assets/dashboard-with-visualizations.json","assets/datatable.json","assets/demo-dashboard.json","assets/ecommerce-analytics-dashboard.json","assets/line-chart-timeseries.json","assets/metric-esql.json","references/chart-types-reference.md","references/dashboard-api-reference.md","references/lens-api-reference.md"]},{"name":"kibana-workflows","description":"Author, validate, test, run, and inspect Elastic Workflow YAML definitions. Use when the user wants to turn natural language into a Kibana workflow, fix workflow YAML, understand triggers or steps, or run a quick test loop against a real Kibana.","files":["SKILL.md","references/demo-test-loop.md","references/generation-tips.md","references/generator-path.md","references/path-performance.md","references/schema-path.md","references/workflow-patterns.md","references/workflow-yaml-reference.md"]},{"name":"kickbox-automation","description":"Automate Kickbox tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kit-automation","description":"Automate Kit tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"klipfolio-automation","description":"Automate Klipfolio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"knowledge-distillation","description":"Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit di","files":["SKILL.md","references/minillm.md"]},{"name":"knowledge-ops","description":"Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.","files":["SKILL.md"]},{"name":"ko-fi-automation","description":"Automate Ko Fi tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kontent-ai-automation","description":"Automate Kontent AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kotlin-backend-jpa-entity-mapping","description":"Model Kotlin persistence code correctly for Spring Data JPA and Hibernate. Covers entity design, identity and equality, uniqueness constraints, relationships, fetch plans, and common ORM (Object-Relational Mapping) traps specific to Kotlin. Use when creating or reviewing JPA (Java Persistence API) e","files":["SKILL.md"]},{"name":"kotlin-best-practices","description":"Core Kotlin patterns for scope functions, backing properties, and read-only collection interfaces. Use for let/apply/run/also/with choices or encapsulating mutable state; defer general language constructs, extension functions, coroutines/runCatching, Android/Room recipes, and testing/tooling setup.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"kotlin-coroutines","description":"Write safe, structured concurrent code with Kotlin Coroutines. Use for suspend functions, coroutine scopes, cancellation, and coroutine leaks; defer Java Virtual Threads, Android WorkManager/Fragment lifecycle, Compose state hoisting, and Detekt/tooling configuration.","files":["SKILL.md","evals/evals.json","references/advanced-patterns.md"]},{"name":"kotlin-coroutines-flows","description":"Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency.","files":["SKILL.md"]},{"name":"kotlin-exposed-patterns","description":"JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern. Use when working with the Exposed ORM — DSL or DAO queries, transactions, pooling, or migrations.","files":["SKILL.md"]},{"name":"kotlin-ktor-patterns","description":"Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing. Use when building a Ktor server — routing, plugins, auth, DI, serialization, or tests.","files":["SKILL.md"]},{"name":"kotlin-language","description":"Write idiomatic Kotlin 1.9+ with null safety, sealed classes, data classes, extension functions, delegates, collections, inline/reified generics, and expression syntax. Use for Kotlin language constructs, Java-to-Kotlin migration, lazy delegates, data classes, backing properties, or inline/reified g","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"kotlin-mcp-server-generator","description":"Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.","files":["SKILL.md"]},{"name":"kotlin-patterns","description":"Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question.","files":["SKILL.md"]},{"name":"kotlin-specialist","description":"Provides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design. Use when building Kotlin applications requiring coroutines, multiplatform development, or Android","files":["SKILL.md","references/android-compose.md","references/coroutines-flow.md","references/dsl-idioms.md","references/ktor-server.md","references/multiplatform-kmp.md"]},{"name":"kotlin-springboot","description":"Get best practices for developing applications with Spring Boot and Kotlin.","files":["SKILL.md"]},{"name":"kotlin-testing","description":"Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices. Use when writing Kotlin tests with Kotest or MockK, or testing coroutines and checking coverage.","files":["SKILL.md"]},{"name":"kotlin-tooling","description":"Configure Kotlin build and quality tooling, including Gradle Kotlin DSL, Version Catalogs, KMP, ktlint, Detekt, MockK, coverage, and quality plugins. Use for Kotlin-specific build, lint, test-tool, or coverage setup; defer Java-only tooling and Spring test behavior.","files":["SKILL.md","evals/evals.json","references/testing-tooling.md"]},{"name":"kotlin-tooling-agp9-migration","description":"Migrates Kotlin Multiplatform (KMP) projects to Android Gradle Plugin 9.0+. Handles plugin replacement (com.android.kotlin.multiplatform.library), module splitting, DSL migration, and the new default project structure. Use when upgrading AGP, when build fails due to KMP+AGP incompatibility, or when ","files":["SKILL.md","assets/checklist.md","references/DSL-REFERENCE.md","references/KNOWN-ISSUES.md","references/MIGRATION-APP-SPLIT.md","references/MIGRATION-FULL-RESTRUCTURE.md","references/MIGRATION-LIBRARY.md","references/PLUGIN-COMPATIBILITY.md","references/VERSION-MATRIX.md","scripts/analyze-project.sh"]},{"name":"kotlin-tooling-cocoapods-spm-migration","description":"Migrate KMP projects from CocoaPods (kotlin(\"native.cocoapods\")) to Swift Package Manager (swiftPMDependencies DSL) — replaces pod() with swiftPackage(), transforms cocoapods.* imports to swiftPMImport.*, and reconfigures the Xcode project.","files":["SKILL.md","references/cocoapods-extras-patterns.md","references/common-pods-mapping.md","references/dsl-reference.md","references/migration-report-template.md","references/troubleshooting.md"]},{"name":"kotlin-tooling-gradle-to-kotlin-toolchain-plugin","description":"Load when porting, converting, or reimplementing a single Gradle plugin as a Kotlin Toolchain local plugin, or when mapping Gradle plugin concepts (Task, Extension, project.version, dependsOn, -P properties, afterEvaluate) to Toolchain analogs. Skip for migrating a whole Gradle project or authoring ","files":["SKILL.md","references/examples.md"]},{"name":"kotlin-tooling-gradle-to-kotlin-toolchain-project","description":"Load when migrating or converting an entire Gradle Kotlin project (build.gradle(.kts), wrapper, libs.versions.toml, buildSrc) to the Kotlin Toolchain, including rewriting CI and replacing Gradle plugins that have no native Toolchain equivalent. Skip for porting one Gradle plugin or general Toolchain","files":["SKILL.md","references/examples.md"]},{"name":"kotlin-tooling-immutable-collections-0-5-x-migration","description":"Migrate Kotlin (and Java) code from kotlinx.collections.immutable 0.3.x / 0.4.x to the latest 0.5.x. The 0.5.x line renames every copy-returning method on PersistentList / PersistentMap / PersistentSet / PersistentCollection to a participial form per KEEP-0459 (add→adding, removeAt→removingAt, set→r","files":["SKILL.md"]},{"name":"kotlin-tooling-java-to-kotlin","description":"Use when converting Java source files to idiomatic Kotlin, when user mentions \"java to kotlin\", \"j2k\", \"convert java\", \"migrate java to kotlin\", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring, Lombok, Hibernate, Jackson, Micronaut, Quark","files":["SKILL.md","assets/checklist.md","references/CONVERSION-METHODOLOGY.md","references/KNOWN-ISSUES.md","references/frameworks/DAGGER-HILT.md","references/frameworks/GUICE.md","references/frameworks/HIBERNATE.md","references/frameworks/JACKSON.md","references/frameworks/JUNIT.md","references/frameworks/LOMBOK.md","references/frameworks/MICRONAUT.md","references/frameworks/MOCKITO.md","references/frameworks/QUARKUS.md","references/frameworks/RETROFIT.md","references/frameworks/RXJAVA.md","references/frameworks/SPRING.md"]},{"name":"kotlin-tooling-kotlin-toolchain","description":"Load when building, running, testing, packaging, linting, or configuring a Kotlin/Java project with the Kotlin Toolchain (JetBrains' unified CLI, formerly Amper), when scaffolding a new or greenfield Kotlin project, or when the repo has project.yaml, module.yaml, or a ./kotlin wrapper. Skip for exis","files":["SKILL.md","evals/EVALUATION.md","evals/evals.json","references/examples.md"]},{"name":"kotlin-tooling-kotlin-toolchain-plugin-authoring","description":"Load when authoring, writing, or designing a Kotlin Toolchain local plugin to extend the declarative build with code generation, build-time processing, custom verification, or packaging that module.yaml cannot express, or when referencing @TaskAction, @Configurable, plugin.yaml, or jvm/amper-plugin.","files":["SKILL.md","references/examples.md"]},{"name":"kotlin-tooling-native-build-performance","description":"Diagnoses and fixes slow Kotlin/Native compilation and linking in Kotlin Multiplatform projects that target iOS. Use when the user reports slow iOS or shared-framework builds, long linkDebug*/linkRelease* or XCFramework tasks, cold CI builds that re-download the Kotlin/Native toolchain, KSP or other","files":["SKILL.md","evals/EVALUATION.md","references/artifacts-and-targets.md","references/caching-and-gradle.md","references/experimental.md","references/exports-and-generated-code.md","scripts/audit-native-build.sh"]},{"name":"kpi-dashboard-design","description":"Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throu","files":["SKILL.md","references/details.md"]},{"name":"kql","description":"KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever w","files":["SKILL.md","references/advanced-patterns.md","references/discovery-queries.md","references/error-recovery.md","references/query-templates.md"]},{"name":"kraken-io-automation","description":"Automate Kraken IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"kubernetes-hardening","description":"Implement Kubernetes security contexts, Pod Security Standards, and network policies. Secure cluster components and workloads. Use when hardening Kubernetes deployments or meeting security compliance.","files":["SKILL.md"]},{"name":"kubernetes-ops","description":"Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.","files":["SKILL.md","assets/deployment-template.yaml","references/best-practices.md","references/troubleshooting-guide.md","scripts/cluster-health-check.sh","scripts/namespace-cleanup.sh","scripts/pod-debug.sh"]},{"name":"kubernetes-patterns","description":"Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.","files":["SKILL.md"]},{"name":"kustomize","description":"Customize Kubernetes manifests without templating using Kustomize. Create base configurations with environment overlays, manage configuration variants, and patch resources declaratively. Use when managing Kubernetes configurations across multiple environments without Helm.","files":["SKILL.md"]},{"name":"l2s-automation","description":"Automate L2s tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"lab-hardware-cad","description":"Designs custom laboratory hardware as parametric build123d models and exports fabrication artifacts as STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument f","files":["SKILL.md","assets/standards.json","references/behavior-rigs.md","references/build123d-patterns.md","references/fabrication-limits.md","references/labware-adapters.md","references/microfluidics.md","references/optomechanics.md","references/validation.md","scripts/_common.py","scripts/check.py","scripts/gen.py","scripts/snapshot.py"]},{"name":"labs64-netlicensing-automation","description":"Automate Labs64 Netlicensing tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"lamindb","description":"Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.","files":["SKILL.md","references/annotation-validation.md","references/core-concepts.md","references/data-management.md","references/integrations.md","references/ontologies.md","references/setup-deployment.md","references/sources.md"]},{"name":"land-and-deploy","description":"Land and deploy workflow. (gstack)","files":["SKILL.md","sections/first-run-validation.md","sections/manifest.json","sections/merge-and-deploy.md","sections/readiness-gate.md"]},{"name":"landbot-automation","description":"Automate Landbot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"landing-page-conversion-audit","description":"Audit a landing page, sales page or checkout page for conversion leaks and return a fix list ordered by expected revenue impact. Use when asked to review, critique or improve a landing page, sales page, opt-in page, product page or checkout flow, when conversion rate is low, when paid traffic is not","files":["SKILL.md"]},{"name":"langbase-automation","description":"Automate Langbase tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"langchain","description":"Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agent","files":["SKILL.md","references/agents.md","references/integration.md","references/rag.md"]},{"name":"langchain-architecture","description":"Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.","files":["SKILL.md","references/details.md"]},{"name":"langchain-dependencies","description":"INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool","files":["SKILL.md"]},{"name":"langchain-fundamentals","description":"Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.","files":["SKILL.md"]},{"name":"langchain-middleware","description":"INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.","files":["SKILL.md"]},{"name":"langchain-python-quickstart","description":"Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.","files":["SKILL.md"]},{"name":"langchain-rag","description":"INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).","files":["SKILL.md"]},{"name":"langchain-typescript-quickstart","description":"Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.","files":["SKILL.md"]},{"name":"langgraph-cli","description":"INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.","files":["SKILL.md"]},{"name":"langgraph-decision-models","description":"INVOKE THIS SKILL when routing a LangGraph agent with a decision model (TypeSafe Jev, SemIf) instead of an LLM, or when auditing an existing agent for LLM calls that only produce a routing decision. Covers langchain-typesafe Noul/Choice/Score, reading answers correctly, threshold design, and LangSmi","files":["SKILL.md","references/conversion-playbook.md"]},{"name":"langgraph-fundamentals","description":"INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.","files":["SKILL.md","references/python.md","references/typescript.md"]},{"name":"langgraph-human-in-the-loop","description":"INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.","files":["SKILL.md"]},{"name":"langgraph-persistence","description":"INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.","files":["SKILL.md"]},{"name":"langgraph-python-quickstart","description":"Scaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.","files":["SKILL.md"]},{"name":"langgraph-typescript-quickstart","description":"Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.","files":["SKILL.md"]},{"name":"langsmith-observability","description":"LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"laravel-api","description":"Build REST endpoints with API Resources, Sanctum authentication, and versioned route groups in Laravel. Use when creating JsonResource classes, adding token-based auth, or defining rate-limited API routes.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-architecture","description":"Enforce core architectural standards for scalable Laravel applications. Use when structuring controllers, service layers, action classes, Form Requests, or Service Container bindings in Laravel projects.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-background-processing","description":"Build scalable asynchronous workflows using Queues, Jobs, and Events in Laravel. Use when implementing queued jobs, event-driven workflows, or async processing in Laravel.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-clean-architecture","description":"Implement Domain-Driven Design with typed DTOs, repository interfaces, and single-responsibility Action classes in Laravel. Use when creating domain folders, binding repository contracts in providers, or passing DTOs between layers.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-database-expert","description":"Optimize Laravel queries with subqueries, joinSub, Redis cache-aside patterns, and read/write connection splitting. Use when writing complex joins, implementing Cache::remember with tags, or configuring database read replicas.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-eloquent","description":"Write performant Eloquent queries with eager loading, reusable scopes, and strict lazy-loading prevention in Laravel. Use when defining model relationships, creating query scopes, or processing large datasets with chunk/cursor.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-patterns","description":"Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps. Use when building or reviewing Laravel apps — controllers, Eloquent, service layers, queues, or API resources.","files":["SKILL.md"]},{"name":"laravel-plugin-discovery","description":"Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.","files":["SKILL.md"]},{"name":"laravel-security","description":"Harden Laravel apps with Policies for model authorization, Gate-based RBAC, validated mass assignment, and CSRF protection. Use when creating authorization policies, securing env config access, or preventing mass assignment vulnerabilities.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-specialist","description":"Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up","files":["SKILL.md","references/eloquent.md","references/livewire.md","references/queues.md","references/routing.md","references/testing.md"]},{"name":"laravel-tdd","description":"Laravel testing strategies with PHPUnit, Pest, model factories, HTTP tests, Sanctum authentication testing, mocking, and coverage. Use when writing Laravel tests with PHPUnit or Pest, or driving a Laravel feature test-first.","files":["SKILL.md"]},{"name":"laravel-testing","description":"Write Pest feature tests with RefreshDatabase, mock external services, and create test data with Eloquent Factories in Laravel. Use when adding HTTP tests, configuring SQLite in-memory test database, or mocking payment services.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-tooling","description":"Configure Laravel ecosystem with custom Artisan commands, Vite asset bundling, Pint code styling, and Horizon queue monitoring. Use when creating Artisan commands, migrating from Mix to Vite, or configuring Pint code standards.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"laravel-verification","description":"Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security.","files":["SKILL.md"]},{"name":"lastpass-automation","description":"Automate Lastpass tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"latchbio-integration","description":"Builds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Reg","files":["SKILL.md","references/data-management.md","references/latch-mcp.md","references/nextflow-snakemake.md","references/operations-and-debugging.md","references/registry.md","references/resource-configuration.md","references/ui-and-automation.md","references/verified-workflows.md","references/workflow-creation.md","scripts/inspect_latch_sdk.py"]},{"name":"latchshot-page-capture","description":"Use this skill when a user needs a screenshot, website thumbnail, full-page capture, or PDF of a public HTTP(S) webpage saved as a local artifact through Latchshot, including report, QA, archive, and social-preview workflows. Do not use it for private or authenticated pages, raw HTML, scraping or ex","files":["SKILL.md","scripts/latchshot.mjs"]},{"name":"latency-critical-systems","description":"Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data","files":["SKILL.md"]},{"name":"latent-briefing","description":"This skill should be used when the user asks to \\\"share memory between agents\\\", \\\"KV cache compaction for multi-agent\\\", \\\"orchestrator worker context\\\", \\\"latent briefing\\\", \\\"reduce worker tokens\\\", \\\"cross-agent memory without summarization\\\", or discusses Attention Matching compaction, recursiv","files":["SKILL.md","references/attention-matching-formulation.md"]},{"name":"launch","description":"Shipyard's governed delivery pipeline — converge the mission, synthesize a durable spec, decompose vertical-slice tickets with blocking edges, run the frontier in parallel via team, close with verification, and report with a full decision log. Two entry gates — the yard gate (drydock audit) and the ","files":["SKILL.md"]},{"name":"launch-nemo-rl","description":"Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"lead-intelligence","description":"AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and rea","files":["SKILL.md","agents/enrichment-agent.md","agents/mutual-mapper.md","agents/outreach-drafter.md","agents/signal-scorer.md"]},{"name":"lead-research-assistant","description":"Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.","files":["SKILL.md"]},{"name":"leadfeeder-automation","description":"Automate Leadfeeder tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"leadoku-automation","description":"Automate Leadoku tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"lean-build","description":"Build feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter.","files":["SKILL.md","agents/openai.yaml"]},{"name":"lean-comments","description":"Audits, writes, and refines maintained first-party source-code comments and declaration-level documentation across languages. 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Use when the user wants to read, create or updates tickets in Linear.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml"]},{"name":"linguapop-automation","description":"Automate Linguapop tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"linkedin-post-formatter","description":"Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns. USE FOR: draft LinkedIn post, format text for LinkedIn, create social media post, write thought leadership post, convert content to LinkedIn format","files":["SKILL.md","references/unicode-charmap.md"]},{"name":"linkerd-patterns","description":"Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. 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Trigger on intents such as \"evaluate my agent\", \"test my agent\", \"run my evals\", \"create eval prompts\", \"add multi-turn tests\",","files":["SKILL.md","examples/analyze-failures.md","examples/basic-generation.md","examples/iterate-on-changes.md","examples/missing-instructions.md","examples/not-atk-project.md","examples/run-and-analyze.md","references/azure-setup.md","references/eval-templates.md","references/guardrails.md","references/output-schema.json","references/output-schema.md","references/pra-framework.md","references/prompts-schema.json","references/remediation-patterns.md","references/result-analysis.md","references/workflow.md"]},{"name":"m365-agents-dotnet","description":"Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailboxlayer-automation","description":"Automate Mailboxlayer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailcheck-automation","description":"Automate Mailcheck tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailcoach-automation","description":"Automate Mailcoach tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailersend-automation","description":"Automate Mailersend tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mails-so-automation","description":"Automate Mails So tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailsoftly-automation","description":"Automate Mailsoftly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mailtrap-email-integration","description":"Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing.","files":["SKILL.md"]},{"name":"maintaining-dbt-documentation","description":"Audits dbt documentation coverage and drafts missing model/column descriptions in the project's own house style, one folder at a time, for human review. Use when documenting undocumented models, backfilling missing YAML descriptions, auditing doc coverage, or keeping schema YAML in sync with model S","files":["SKILL.md","audit_coverage.py"]},{"name":"maintainx-automation","description":"Automate Maintainx tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"make-blog-post","description":"Turn code from the current session into a blog post written in the voice of its author. Covers one function, script, class, or tool as a focused walkthrough with a generalized sample and a usage example, learns tone and structure from existing posts or writing samples by the same author, takes the d","files":["SKILL.md","assets/voice-profile-template.md","references/blog-platforms.md","references/delivery.md","references/seo.md","references/voice-profile.md"]},{"name":"make-interfaces-feel-better","description":"Apply concrete design-engineering details that make interfaces feel polished. Use when reviewing or improving UI spacing, typography, borders, shadows, motion, hit areas, icons, text wrapping, and interaction states.","files":["SKILL.md"]},{"name":"make-repo-contribution","description":"All changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or","files":["SKILL.md","assets/issue-template.md","assets/pr-template.md"]},{"name":"mamba-architecture","description":"State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.","files":["SKILL.md","references/architecture-details.md","references/benchmarks.md","references/training-guide.md"]},{"name":"managed-airflow-dag-authoring","description":"Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DA","files":["SKILL.md"]},{"name":"managed-airflow-dag-troubleshooting","description":"Provides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Use when figuring out reasons for DAG run or task instance failures. Don't use when looking for overall recommendations for Managed Ai","files":["SKILL.md"]},{"name":"managed-airflow-migrations","description":"Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking change","files":["SKILL.md","references/airflow-3.md","references/environment-inspection.md","references/local-development-environment.md"]},{"name":"managing-amazon-kinesis-data-streams","description":"Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. 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Use when the user wants a clean animated explainer rather than a generic talking-head script.","files":["SKILL.md","assets/network_graph_scene.py"]},{"name":"many-chat-automation","description":"Automate ManyChat tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"map","description":"The yard's skill map — which skill owns which job, in delivery-loop order. Use when something needs doing but not which of the shipped skills owns it; the map routes, it never executes.","files":["SKILL.md"]},{"name":"mapbox-automation","description":"Automate Mapbox tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mapulus-automation","description":"Automate Mapulus tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"marine-carbonate-chemistry","description":"Solves seawater carbonate chemistry with PyCO2SYS for chemical oceanography, ocean acidification, and marine carbon-cycle research. Use for paired total alkalinity, dissolved inorganic carbon, pH, or seawater pCO2/fCO2 measurements; carbonate speciation; aragonite and calcite saturation; Revelle fac","files":["SKILL.md","references/chemistry-decisions.md","references/input-and-results.md","scripts/solve_carbonate.py"]},{"name":"market-research","description":"Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.","files":["SKILL.md"]},{"name":"market-research-reports","description":"Builds evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.","files":["SKILL.md","assets/FORMATTING_GUIDE.md","assets/forecast_sensitivity_template.json","assets/market_sizing_scenarios_template.json","assets/report_manifest_template.json","references/data_analysis_patterns.md","references/evidence_model.md","references/methods_and_ethics.md","references/official_data_sources.md","references/report_structure_guide.md","references/sources.md","references/visual_generation_guide.md","scripts/_common.py","scripts/audit_claim_citations.py","scripts/calculate_market_sizing.py","scripts/check_unit_consistency.py","scripts/forecast_sensitivity.py","scripts/generate_report_scaffold.py","scripts/validate_competitor_matrix.py","scripts/validate_evidence_ledger.py"]},{"name":"market-sizing-analysis","description":"Calculate TAM/SAM/SOM for market opportunities using top-down, bottom-up, and value theory methodologies. Use this skill when sizing markets, estimating addressable revenue, validating market opportunity for a new venture, or building investor-ready market analysis for a startup pitch or business pl","files":["SKILL.md","examples/saas-market-sizing.md","references/data-sources.md","references/details.md"]},{"name":"marketing","description":"Plan and run campaign-level marketing asset production with genmedia. Use this for launch kits, campaign matrices, paid social variants, landing-page visuals, email and banner imagery, hook/proof/conversion assets, creator ad packages, and channel-specific marketing deliverables.","files":["SKILL.md","references/campaign-patterns.md","references/examples.md","references/workflows.md"]},{"name":"marketing-campaign","description":"End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use w","files":["SKILL.md"]},{"name":"markstream-install","description":"Install and configure Markstream streaming Markdown renderers for Vue, React, Svelte, Angular, Nuxt, and Vue 2 applications. Use for package selection, minimal peer dependencies, CSS order, SSR boundaries, streaming mode, and renderer setup.","files":["SKILL.md","references/scenarios.md"]},{"name":"master-agreement-generator","description":"Generate review drafts of counterparty master agreements from one template plus a JSON spec, with role-selected clauses and a Schedule A workflow limited to the executed agreement's notice authority. Use when you need reproducible drafting and separately reviewed execution preparation.","files":["SKILL.md","references/master-template.example.md","references/spec.example.json","scripts/build-agreement.js"]},{"name":"matchms","description":"Processes, cleans, compares, and searches tandem mass spectra with matchms. Use for MS/MS file I/O, metadata harmonization, peak filtering, spectral similarity, library matching, score matrices, and molecular-similarity networks. Use pyopenms instead for LC-MS feature detection or proteomics pipelin","files":["SKILL.md","references/filtering.md","references/importing_exporting.md","references/migration.md","references/similarity.md","references/sources.md","references/workflows.md","scripts/library_search.py"]},{"name":"material-ui-nextjs","description":"Integrates Material UI with Next.js App and Pages routers using @mui/material-nextjs, Emotion cache providers, next/font, CSS layers with Tailwind/CSS Modules, Link component prop patterns, CSS theme variables SSR notes, and App Router useSearchParams + Suspense. Use when setting up or debugging MUI","files":["SKILL.md","AGENTS.md","README.md","metadata.json","reference.md"]},{"name":"material-ui-styling","description":"Chooses the right Material UI styling approach (sx, styled, theme overrides, global CSS) from official MUI guidance. Use when styling @mui/material components, customizing themes, overriding slots, or comparing sx vs styled.","files":["SKILL.md","AGENTS.md","README.md","metadata.json","reference.md"]},{"name":"material-ui-tailwind","description":"Integrates Material UI with Tailwind CSS v4 using cascade layers (enableCssLayer, @layer order) and documents Tailwind v3 interoperability (preflight, important, injectFirst, portals). Use when combining MUI with Tailwind utilities, slotProps className, or theme token bridges.","files":["SKILL.md","AGENTS.md","README.md","metadata.json","reference.md"]},{"name":"material-ui-theming","description":"Guides Material UI theming and design tokens (createTheme, ThemeProvider, palette, colorSchemes, cssVariables, theme.vars, dark mode, TypeScript augmentation). Use when building or extending a theme, toggling light/dark, or aligning tokens across an app.","files":["SKILL.md","AGENTS.md","README.md","metadata.json","reference.md"]},{"name":"math-olympiad","description":"# Math Olympiad Solver","files":["SKILL.md","evals/trigger_eval.json","references/adversarial_prompts.md","references/attempt_agent.md","references/known_constructions.md","references/model_tier_defaults.md","references/presentation_prompts.md","references/solver_heuristics.md","references/verifier_patterns.md","scripts/check_latex.sh","scripts/compile_pdf.sh"]},{"name":"matlab","description":"Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.","files":["SKILL.md","assets/project_manifest_template.json","assets/python_compatibility_r2026a.json","assets/reproducibility_manifest_template.json","references/data-import-export.md","references/executing-scripts.md","references/graphics-visualization.md","references/mathematics.md","references/matrices-arrays.md","references/octave-compatibility.md","references/programming.md","references/python-integration.md","scripts/_common.py","scripts/generate_function_scaffold.py","scripts/inventory_mat_file.py","scripts/plan_batch_command.py","scripts/plan_python_compatibility.py","scripts/reproducibility_report.py","scripts/scan_m_code.py","scripts/validate_project_manifest.py"]},{"name":"matplotlib","description":"Creates and customizes scientific plots with Matplotlib. Used for fine-grained control over plot elements, novel plot types, and scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel f","files":["SKILL.md","references/api_reference.md","references/common_issues.md","references/plot_types.md","references/styling_guide.md","scripts/plot_template.py","scripts/style_configurator.py"]},{"name":"maz-ui","description":"Maz-UI v4 - Modern Vue & Nuxt component library with 50+ standalone components, composables, directives, theming, i18n, and SSR support. Use when building Vue/Nuxt applications with forms, dialogs, tables, animations, or need responsive design system with dark mode.","files":["SKILL.md","references/accessibility.md","references/cli.md","references/components-feedback.md","references/components-forms.md","references/components-layout.md","references/components-navigation.md","references/composables.md","references/directives.md","references/form-validation.md","references/icons.md","references/mcp.md","references/migration-v4.md","references/performance.md","references/plugins.md","references/resolvers.md","references/setup-nuxt.md","references/setup-vue.md","references/ssr-ssg.md","references/theming.md","references/translations.md","references/troubleshooting.md"]},{"name":"mboum-automation","description":"Automate Mboum tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mcore-create-issue","description":"Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"mcore-linting-and-formatting","description":"Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"mcore-run-on-slurm","description":"How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"mcore-split-pr","description":"Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"mcore-testing","description":"Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"mcp-builder","description":"Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MC","files":["SKILL.md","reference/evaluation.md","reference/mcp_best_practices.md","reference/microsoft_mcp_patterns.md","reference/node_mcp_server.md","reference/python_mcp_server.md","scripts/connections.py","scripts/evaluation.py","scripts/requirements.txt"]},{"name":"mcp-cli","description":"Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.","files":["SKILL.md"]},{"name":"mcp-copilot-studio-server-generator","description":"Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support","files":["SKILL.md"]},{"name":"mcp-create-adaptive-cards","description":"Skill converted from mcp-create-adaptive-cards.prompt.md","files":["SKILL.md"]},{"name":"mcp-create-declarative-agent","description":"Skill converted from mcp-create-declarative-agent.prompt.md","files":["SKILL.md"]},{"name":"mcp-dependency-review","description":"Statically review MCP configuration for mutable package references before approval or CI, without executing discovered MCP servers. Use when reviewing .mcp.json, Cursor, VS Code, Claude, Windsurf, or other repo-scoped MCP config.","files":["SKILL.md"]},{"name":"mcp-deploy-manage-agents","description":"Skill converted from mcp-deploy-manage-agents.prompt.md","files":["SKILL.md"]},{"name":"mcp-developer","description":"Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance is","files":["SKILL.md","references/protocol.md","references/python-sdk.md","references/resources.md","references/tools.md","references/typescript-sdk.md"]},{"name":"mcp-implementation-security-review","description":"Review the implementation source code of MCP (Model Context Protocol) servers, clients, and tool handlers against a security baseline — authentication, sessions, rate limiting, input-schema validation, official-SDK usage, RCE vectors, and the OWASP MCP Top 10 — producing a report with file/line evid","files":["SKILL.md"]},{"name":"mcp-integration","description":"This skill should be used when the user asks to \"add MCP server\", \"integrate MCP\", \"configure MCP in plugin\", \"use .mcp.json\", \"set up Model Context Protocol\", \"connect external service\", mentions \"${CLAUDE_PLUGIN_ROOT} with MCP\", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides","files":["SKILL.md","examples/http-server.json","examples/sse-server.json","examples/stdio-server.json","references/authentication.md","references/server-types.md","references/tool-usage.md"]},{"name":"mcp-release-qa","description":"Verify an MCP server before release by exercising a real protocol session, comparing runtime capabilities with source and documentation, testing failure paths, and recording reproducible evidence. Use when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path.","files":["SKILL.md"]},{"name":"mcp-security-audit","description":"Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when:\n- Reviewing .mcp.json files for security risks\n- Checking MCP server args for hardcoded secrets or shell injection patterns\n- Validating that MCP package-runner dependencies use exact reviewed versions","files":["SKILL.md"]},{"name":"mcp-server-patterns","description":"Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.","files":["SKILL.md"]},{"name":"mcp-server-security","description":"Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.","files":["SKILL.md"]},{"name":"md-to-docx","description":"Convert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools required","files":["SKILL.md","scripts/md-to-docx.mjs","scripts/package.json"]},{"name":"medchem","description":"Applies medicinal chemistry filters for compound triage, using drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.","files":["SKILL.md","references/api_guide.md","references/rules_catalog.md","scripts/filter_molecules.py"]},{"name":"media3-cast-integration","description":"Implements Google Cast support in Android apps using Jetpack Media3.","files":["SKILL.md","references/android/media/media3/cast/create-castplayer.md","references/android/media/media3/cast/customize-castoptions.md","references/android/media/media3/cast/index.md"]},{"name":"medtech-model-evidence-export","description":"Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. Use after inference, including NV-Generate runs; not for live training tracking, model registration, or clinical use.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/sample_pack/integrity_check.json","fixtures/sample_pack/manifest.json","fixtures/sample_pack/output.json","fixtures/sample_pack/runtime_profile.json","fixtures/sample_pack/validation_summary.json","fixtures/sample_result.json","scripts/export_evidence_pack.py","skill-card.md","skill_manifest.yaml","tests/test_export_evidence_pack.py","validators/output_schema.json"]},{"name":"meeting-insights-analyzer","description":"Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication","files":["SKILL.md"]},{"name":"meeting-minutes","description":"Generate concise, actionable meeting minutes for internal meetings. Includes metadata, attendees, agenda, decisions, action items (owner + due date), and follow-up steps.","files":["SKILL.md"]},{"name":"megacave","description":"Caveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim. Invoke only with /megacave or /caveman wenyan. Stays on until \"stop caveman\" or \"normal mode\".","files":["SKILL.md","README.md"]},{"name":"melo-automation","description":"Automate Melo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mem-automation","description":"Automate Mem tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mem0-automation","description":"Automate Mem0 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"memberspot-automation","description":"Automate Memberspot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"memberstack-automation","description":"Automate Memberstack tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"membervault-automation","description":"Automate Membervault tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"memory-merger","description":"Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.","files":["SKILL.md"]},{"name":"memory-safety-patterns","description":"Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.","files":["SKILL.md","references/details.md"]},{"name":"memory-systems","description":"This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to","files":["SKILL.md","references/implementation.md","scripts/memory_store.py"]},{"name":"mentoring-juniors","description":"Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: \"help me understand\", \"explain this code\", \"I''m stuck\", \"Im stuck\", \"I''m confused\", \"Im confused\", \"I don''t understand\", \"I dont understand\", \"can you teach me\", \"teach me\", \"mentor me\", ","files":["SKILL.md"]},{"name":"mermaid-to-proverif","description":"Translates Mermaid sequenceDiagrams describing cryptographic protocols into ProVerif formal verification models (.pv files). Use when generating a ProVerif model, formally verifying a protocol, converting a Mermaid diagram to ProVerif, verifying protocol security properties (secrecy, authentication,","files":["SKILL.md","agents/openai.yaml","examples/simple-handshake/diagram.md","references/crypto-to-proverif-mapping.md","references/proverif-syntax.md","references/security-properties.md"]},{"name":"messages-ops","description":"Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.","files":["SKILL.md"]},{"name":"metaads-automation","description":"Automate Metaads tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"metaphor-automation","description":"Automate Metaphor tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"metronome","description":"Guides Metronome usage-based billing integration decisions — event ingestion (single and batch, idempotency, billable metrics), contract design (rate cards, overrides, dimensional pricing, products), invoicing lifecycle (grace periods, finalization, Stripe sync), credit and commit management (prepai","files":["SKILL.md"]},{"name":"mezmo-automation","description":"Automate Mezmo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"microservices-architect","description":"Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies. Use when designing distributed systems, decomposing monoliths, or implementing microservices patterns — i","files":["SKILL.md","references/communication.md","references/data.md","references/decomposition.md","references/observability.md","references/patterns.md"]},{"name":"microservices-patterns","description":"Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.","files":["SKILL.md","references/details.md"]},{"name":"microsoft-agent-framework","description":"Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.","files":["SKILL.md","references/dotnet.md","references/python.md"]},{"name":"microsoft-azure-webjobs-extensions-authentication-events-dotnet","description":"Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: \"Authentication Events\", \"WebJobsAuthenticationEventsTrigger\", \"OnTokenIssuan","files":["SKILL.md"]},{"name":"microsoft-code-reference","description":"Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, a","files":["SKILL.md"]},{"name":"microsoft-docs","description":"Understand Microsoft technologies by querying official documentation. Use whenever the user asks how something works, wants tutorials, needs configuration options, limits, quotas, or best practices for any Microsoft technology (Azure, .NET, M365, Windows, Power Platform, etc.)—even if they don't men","files":["SKILL.md"]},{"name":"microsoft-foundry","description":"Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure ","files":["SKILL.md"]},{"name":"microsoft-foundry-classic","description":"Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry ag","files":["SKILL.md"]},{"name":"microsoft-foundry-local","description":"Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including best practices, decision making, configuration, and integrations & coding patterns. Use when compiling HF models with Olive, using Foundry Local CLI, embeddings/chat/audio APIs, or OpenAI-style integratio","files":["SKILL.md"]},{"name":"microsoft-foundry-tools","description":"Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Content ","files":["SKILL.md"]},{"name":"microsoft-skill-creator","description":"Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing ","files":["SKILL.md","references/skill-templates.md"]},{"name":"microsoft-store-publisher","description":"Prepare, validate, submit, and monitor Windows desktop apps in Microsoft Partner Center. Use for MSIX packaging, Store identity, listings, WACK, Partner Center automation, certification, and publishing.","files":["SKILL.md","references/msix-checklist.md","references/partner-center-dom.md","references/submission-playbook.md","references/worked-example.md","scripts/inspect-msix.ps1","scripts/invoke-wack.ps1","scripts/package.json","scripts/partner-center-control.mjs","templates/certification-notes.md","templates/run-full-trust-rationale.md","templates/store-listing.md","templates/submission-record.json"]},{"name":"microsoft-tenant-automation","description":"Automate Microsoft Tenant tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"middlewares","description":"Create and compose tRPC middleware with t.procedure.use(), extend context via opts.next({ ctx }), build reusable middleware with .concat() and .unstable_pipe(), define base procedures like publicProcedure and authedProcedure. Access raw input with getRawInput(). Logging, timing, OTEL tracing pattern","files":["SKILL.md"]},{"name":"migrate-radix-to-base","description":"Migrates React projects and components from Radix UI to Base UI. Use when asked to migrate from radix, move to base-ui, convert radix primitives, or switch a shadcn project's base library. Handles single components (\"migrate accordion\") and whole projects.","files":["SKILL.md","class-mapping.md","consumer-props.md","disclosure.md","display-misc.md","form-controls.md","menus.md","overlays.md","universal-patterns.md","wrapper-shapes.md"]},{"name":"migrate-to-deno","description":"Use when moving a Node.js, npm, Yarn, pnpm, or Bun project to Deno, or when adopting Deno incrementally in an existing JavaScript or TypeScript codebase. Covers using Deno as a drop-in package manager, running existing package.json scripts, CommonJS versus ESM, node_modules layout, lockfile migratio","files":["SKILL.md","references/FROM_BUN.md","references/FROM_NPM.md","references/FROM_PNPM.md","references/FROM_YARN.md","references/NODE_APIS.md"]},{"name":"migrate-to-msk","description":"Helps migrate self-managed Apache Kafka workloads to Amazon MSK Express. Inventories the source cluster (from IaC files, Kafka CLI output, or manual input), assesses MSK Express compatibility across topology, Kafka version, configs, auth, and quotas, produces a target Express specification (instance","files":["SKILL.md","assets/simulation-stack.yaml","references/assessment-compatibility.md","references/assessment-sizing.md","references/discovery.md","references/simulation.md","scripts/compatibility.py","scripts/simulation_load_test_config.py","scripts/sizing.py"]},{"name":"migrate-to-shoehorn","description":"Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.","files":["SKILL.md","agents/openai.yaml"]},{"name":"migrate-xml-views-to-jetpack-compose","description":"Provides a structured workflow for migrating an Android XML View to Jetpack","files":["SKILL.md","references/analysis-of-the-project-and-layout.md","references/android/develop/ui/compose/designsystems/migrate-xml-theme-to-compose.md","references/android/develop/ui/compose/migrate/interoperability-apis/compose-in-views.md","references/android/develop/ui/compose/migrate/interoperability-apis/views-in-compose.md","references/android/develop/ui/compose/setup-compose-dependencies-and-compiler.md","references/identify-optimal-xml-candidate.md","references/xml-layout-migration.md"]},{"name":"migrating-dbt-core-to-v2","description":"Use when a user needs help triaging dbt-core to dbt v2 migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).","files":["SKILL.md","references/README.md","references/classification-categories.md","references/error-patterns-reference.md"]},{"name":"migrating-dbt-project-across-platforms","description":"Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.","files":["SKILL.md","references/generating-unit-tests.md","references/installing-dbt-fusion.md","references/switching-targets.md"]},{"name":"migrating-oracle-to-postgres-data-access-code","description":"Migrates .NET/C# data access code from Oracle to PostgreSQL (Npgsql). Replaces Oracle NuGet packages, rewrites OracleConnection/OracleCommand/OracleDataReader usage, fixes DbType mappings, updates stored procedure invocation patterns, and adapts connection string configuration. Use when migrating th","files":["SKILL.md"]},{"name":"migrating-oracle-to-postgres-stored-procedures","description":"Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE \"C\"` only when appropriate, locale collations when requir","files":["SKILL.md"]},{"name":"migrating-to-amazon-redshift","description":"Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`; Teradata (Vantage) is the supported source; additional sourc","files":["SKILL.md","references/teradata/architecture-mapping.md","references/teradata/bteq-to-rsql.md","references/teradata/common-errors.md","references/teradata/conversion-rules.md","references/teradata/data-migration-patterns.md","references/teradata/data-type-mapping.md","references/teradata/discovery-queries.md","references/teradata/orchestration.md","references/teradata/performance.md","references/teradata/reporting.md","references/teradata/sizing.md","references/teradata/stored-procedure-migration.md","references/teradata/validation-patterns.md"]},{"name":"migration","description":"Implement reversible compatibility-safe transitions. Use for schema, data, API, protocol, configuration, or dependency migrations requiring rollback and preservation proof.","files":["SKILL.md","agents/openai.yaml"]},{"name":"miles-rl-training","description":"Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.","files":["SKILL.md","references/api-reference.md","references/troubleshooting.md"]},{"name":"mimir","description":"Stand up Grafana Mimir for horizontally scalable, multi-tenant, long-term Prometheus + OTLP metrics storage. Covers monolithic / read-write / microservices deployment, S3 / GCS / Azure / filesystem block storage, Prometheus `remote_write` and OTLP ingestion, multi-tenancy with `X-Scope-OrgID`, inges","files":["SKILL.md","references/architecture.md","references/storage.md"]},{"name":"minecraft-plugin-development","description":"Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe AP","files":["SKILL.md","references/bootstrap-registration.md","references/build-test-and-runtime-validation.md","references/config-data-and-async.md","references/maps-heroes-and-feature-modules.md","references/minigame-instance-flow.md","references/persistent-progression-and-events.md","references/project-patterns.md","references/state-sessions-and-phases.md"]},{"name":"minerstat-automation","description":"Automate Minerstat tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mini-context-graph","description":"A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern\nwith a structured knowledge graph. Ingest documents once — the LLM writes wiki\npages, extracts entities/relations into the graph, and stores raw content for\nevidence retrieval. Knowledge accumulates and cross-references; ","files":["SKILL.md","references/ingestion.md","references/lint.md","references/ontology.md","references/retrieval.md","scripts/config.py","scripts/contextgraph.py","scripts/template_agent_workflow.py","scripts/tools/__init__.py","scripts/tools/documents_store.py","scripts/tools/graph_store.py","scripts/tools/index_store.py","scripts/tools/ontology_store.py","scripts/tools/retrieval_engine.py","scripts/tools/wiki_store.py"]},{"name":"minimal-code-discipline","description":"YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away","files":["SKILL.md"]},{"name":"minimal-prose-discipline","description":"Writing-time discipline for the prose an agent speaks to a human (replies, reports, pointers): a protected core never rewritten (code, commands, paths, errors, negators, numbers), filler dies, no narration, auto-clarity where terse misleads","files":["SKILL.md"]},{"name":"missive-automation","description":"Automate Missive tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mkdocs-translations","description":"Generate a language translation for a mkdocs documentation stack.","files":["SKILL.md"]},{"name":"ml-adoption-playbook","description":"End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, fr","files":["SKILL.md"]},{"name":"ml-ai","description":"Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN outlier detection), Sift (8-analysis automated root-cause), Knowledge Graph + RCA Workbench, and the LLM","files":["SKILL.md","references/llm-and-graph.md","references/sift.md"]},{"name":"ml-kit-genai-prompt-api","description":"Analyzes Android codebases to implement ML Kit GenAI Prompt API. Use","files":["SKILL.md","references/get-started.md","references/prefix-caching.md","references/prompt-design.md","references/prompt-optimization.md","references/structured-output.md","references/system-instructions.md"]},{"name":"ml-model-training","description":"Train ML models with scikit-learn, PyTorch, TensorFlow. Use for classification/regression, neural networks, hyperparameter tuning, or encountering overfitting, underfitting, convergence issues.","files":["SKILL.md","references/pytorch-training.md","references/tensorflow-keras.md"]},{"name":"ml-pipeline","description":"Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation ","files":["SKILL.md","references/experiment-tracking.md","references/feature-engineering.md","references/model-validation.md","references/pipeline-orchestration.md","references/training-pipelines.md"]},{"name":"ml-pipeline-automation","description":"Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.","files":["SKILL.md","references/airflow-patterns.md","references/kubeflow-mlflow.md","references/pipeline-monitoring.md"]},{"name":"ml-pipeline-workflow","description":"Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.","files":["SKILL.md"]},{"name":"mle-workflow","description":"Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.","files":["SKILL.md"]},{"name":"mlflow","description":"Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform","files":["SKILL.md","references/deployment.md","references/model-registry.md","references/tracking.md"]},{"name":"mobile-android-design","description":"Master Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.","files":["SKILL.md","references/android-navigation.md","references/compose-components.md","references/details.md","references/material3-theming.md"]},{"name":"mobile-app-debugging","description":"Mobile app debugging for iOS, Android, cross-platform frameworks. Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors.","files":["SKILL.md"]},{"name":"mobile-app-testing","description":"Mobile app testing with unit tests, UI automation, performance testing. Use for test infrastructure, E2E tests, testing standards, or encountering test framework setup, device farms, flaky tests, platform-specific test errors.","files":["SKILL.md"]},{"name":"mobile-first-design","description":"Designs responsive interfaces starting from mobile screens with progressive enhancement for larger devices. Use when building responsive websites, optimizing for mobile users, or implementing adaptive layouts.","files":["SKILL.md"]},{"name":"mobile-ios-design","description":"Master iOS Human Interface Guidelines and SwiftUI patterns for building native iOS apps. Use when designing iOS interfaces, implementing SwiftUI views, or ensuring apps follow Apple's design principles.","files":["SKILL.md","references/hig-patterns.md","references/ios-navigation.md","references/swiftui-components.md"]},{"name":"mobile-offline-support","description":"Offline-first mobile apps with local storage, sync queues, conflict resolution. Use for offline functionality, data sync, connectivity handling, or encountering sync conflicts, queue management, storage limits, network transition errors.","files":["SKILL.md","references/native-implementations.md"]},{"name":"mobile-security","description":"Mobile application security testing (Android + iOS) mapped to OWASP MASVS/MASTG — static reversing (Flutter AOT, Unity IL2CPP, React Native/Hermes, native ARM64, Mach-O/Swift), SAST (manifest/IPC, storage, crypto, signing), dynamic analysis (Frida/objection, TLS-pinning + root/jailbreak bypass, traf","files":["SKILL.md","reference/android-dynamic-analysis.md","reference/android-static-analysis.md","reference/flutter-aot-reversing.md","reference/ios-dynamic-analysis.md","reference/ios-static-analysis.md","reference/masvs-class-map.md","reference/methodology.md","reference/privacy-testing.md","reference/scenarios/android/native-lib-host-extraction.md","reference/scenarios/android/react-native-hermes.md"]},{"name":"mocean-automation","description":"Automate Mocean tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mocha-skill","description":"Generates Mocha tests in JavaScript with Chai assertions and Sinon mocking. Use when user mentions \"Mocha\", \"Chai\", \"sinon\", \"describe/it (not Jest)\". Triggers on: \"Mocha\", \"Chai\", \"sinon\", \"mocha test\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"moco-automation","description":"Automate Moco tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"modal","description":"Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with","files":["SKILL.md","references/api_reference.md","references/examples.md","references/functions.md","references/getting-started.md","references/gpu.md","references/images.md","references/resources.md","references/scaling.md","references/scheduled-jobs.md","references/secrets.md","references/volumes.md","references/web-endpoints.md"]},{"name":"modal-serverless-gpu","description":"Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"model-deployment","description":"Generates code that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says \"deploy my model\", \"create an endpoint\", \"make it available\", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS","files":["SKILL.md","code_templates/deploy-nova-bedrock.py","code_templates/deploy-nova-sagemaker.py","code_templates/deploy-oss-bedrock.py","code_templates/deploy-oss-sagemaker.py","references/code_output_guide.md","references/deploy-nova-bedrock.md","references/deploy-nova-sagemaker.md","references/deploy-oss-bedrock.md","references/deploy-oss-sagemaker.md","references/model-licenses.md"]},{"name":"model-evaluation","description":"Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says \"evaluate my model\", \"run a benchmark\", \"test model performance\", \"how did my model perform\", \"compare models\", or other similar requests.","files":["SKILL.md","code_templates/custom_scorer_evaluator.py","code_templates/llmaaj_evaluator.py","references/code_output_guide.md","references/create-reward-function.md","references/custom-lambda-scorer.md","references/custom-scorer-evaluation.md","references/evaluation-type-guide.md","references/llmaaj-builtin-evaluation.md","references/llmaaj-custom-evaluation.md","references/llmaaj-evaluation.md","references/supported-judge-models.md","scripts/nova_reward_function_source_template.py","scripts/reward_function_source_template.py","scripts/validate_custom_metrics.py"]},{"name":"model-merging","description":"Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-","files":["SKILL.md","references/coefficient-tuning.md","references/evaluation.md","references/examples.md","references/methods.md"]},{"name":"model-pruning","description":"Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M s","files":["SKILL.md","references/wanda.md"]},{"name":"model-registry-governance","description":"Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.","files":["SKILL.md"]},{"name":"model-routing","description":"Choose default fal.ai endpoint IDs for genmedia production skills. Use this with commercial, marketing, ugc, character-design, cinematography, storytelling, and workflow when the user has not named a specific model.","files":["SKILL.md"]},{"name":"model-selection","description":"Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., \"Llama\", \"Mistral\", \"Nova\"), or wants to evaluate a base model — always activate even for known model ","files":["SKILL.md","references/benchmarks/agenticIndex.md","references/benchmarks/codingIndex.md","references/benchmarks/gpqa.md","references/benchmarks/hle.md","references/benchmarks/ifbench.md","references/benchmarks/intelligenceIndex.md","references/benchmarks/mmmuPro.md","references/benchmarks/tau2.md","references/model-licenses.md","references/model-selection.md","scripts/get_model_names.py"]},{"name":"model-serving-kubernetes","description":"Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.","files":["SKILL.md"]},{"name":"model-supply-chain-security","description":"Secure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.","files":["SKILL.md"]},{"name":"modelry-automation","description":"Automate Modelry tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"modern-cpp","description":"Guides C++ code toward modern idioms (C++20/23/26). Use when writing new C++ code, modernizing legacy patterns, or working on security-critical C++. Replaces raw pointers with smart pointers, SFINAE with concepts, printf with std::print, error codes with std::expected.","files":["SKILL.md","references/anti-patterns.md","references/compiler-hardening.md","references/cpp20-features.md","references/cpp23-features.md","references/cpp26-features.md","references/safe-idioms.md"]},{"name":"modern-javascript-patterns","description":"Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing Java","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"moe-training","description":"Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Co","files":["SKILL.md","references/architectures.md","references/inference.md","references/training.md"]},{"name":"molecular-dynamics","description":"Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis. Sets up protein/small molecule systems, defines force fields, runs energy minimization and production MD, and analyzes trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and","files":["SKILL.md","references/mdanalysis_analysis.md","references/system_preparation.md"]},{"name":"molfeat","description":"Featurizes small molecules with Molfeat for QSAR/QSPR, chemical similarity, virtual screening, and molecular ML. Covers ECFP/MACCS fingerprints, RDKit descriptors, pharmacophores, pretrained embeddings, configuration persistence, and molecule-to-label alignment.","files":["SKILL.md","references/api_reference.md","references/available_featurizers.md","references/choosing_a_featurizer.md","references/examples.md"]},{"name":"moneybird-automation","description":"Automate Moneybird tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mongodb-atlas-stream-processing","description":"Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event pro","files":["SKILL.md","references/connection-configs.md","references/development-workflow.md","references/mcp-troubleshooting.md","references/output-diagnostics.md","references/pipeline-patterns.md","references/sizing-and-parallelism.md"]},{"name":"mongodb-connection","description":"Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting con","files":["SKILL.md","references/monitoring-guide.md"]},{"name":"mongodb-mcp-setup","description":"Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.","files":["SKILL.md"]},{"name":"mongodb-natural-language-querying","description":"Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks \"how do I query..","files":["SKILL.md"]},{"name":"mongodb-qe-size-estimation","description":"Estimates the storage and memory impact of encrypting fields in collections with Queryable Encryption (QE) enabled. Do NOT use for collections that use Client-Side Field Level Encryption (CSFLE) instead of QE.","files":["SKILL.md"]},{"name":"mongodb-query-optimizer","description":"Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: \"How do I optimize this query?\", \"How do I index this?\", \"Why is this query slow?\", \"Can you fix my slow queries?\", \"What are the slow queries on my cluster?\", etc. Do not invoke for gener","files":["SKILL.md","references/aggregation-optimization.md","references/antipattern-examples.md","references/core-indexing-principles.md","references/update-query-examples.md"]},{"name":"mongodb-schema-design","description":"MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on \"design schema\", \"embed vs reference\", \"MongoDB data model\", \"schema review\", \"unbounded arrays\", \"one","files":["SKILL.md","references/antipattern-excessive-lookups.md","references/antipattern-unnecessary-collections.md","references/antipattern-unnecessary-indexes.md","references/fundamental-document-model.md","references/fundamental-document-size.md","references/fundamental-embed-vs-reference.md","references/fundamental-schema-validation.md","references/pattern-approximation.md","references/pattern-archive.md","references/pattern-attribute.md","references/pattern-bucket.md","references/pattern-computed.md","references/pattern-document-versioning.md","references/pattern-extended-reference.md","references/pattern-outlier.md","references/pattern-polymorphic.md","references/pattern-schema-versioning.md","references/pattern-time-series-collections.md","references/source-query-stats.md","references/source-slow-query-logs.md"]},{"name":"mongodb-search-and-ai","description":"Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embedding","files":["SKILL.md","references/automated-embedding.md","references/hybrid-search.md","references/lexical-search-indexing.md","references/lexical-search-querying.md","references/vector-search.md"]},{"name":"monitoring-expert","description":"Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. ","files":["SKILL.md","references/alerting-rules.md","references/application-profiling.md","references/capacity-planning.md","references/dashboards.md","references/opentelemetry.md","references/performance-testing.md","references/prometheus-metrics.md","references/structured-logging.md"]},{"name":"monorepo-management","description":"Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.","files":["SKILL.md","references/details.md"]},{"name":"moonclerk-automation","description":"Automate Moonclerk tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"moosend-automation","description":"Automate Moosend tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mopinion-automation","description":"Automate Mopinion tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"more-trees-automation","description":"Automate More Trees tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"motion","description":"Motion (Framer Motion) React animation library. Use for drag-and-drop, scroll animations, gestures, SVG morphing, or encountering bundle size, complex transitions, spring physics errors.","files":["SKILL.md","references/accessibility-guide.md","references/common-patterns.md","references/core-concepts-deep-dive.md","references/motion-vs-auto-animate.md","references/nextjs-integration.md","references/performance-optimization.md","scripts/init-motion.sh","scripts/optimize-bundle.sh"]},{"name":"motion-advanced","description":"Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations. Use when building drag and drop, gestures, text or SVG animation, or imperat","files":["SKILL.md"]},{"name":"motion-foundations","description":"Motion tokens, spring presets, performance rules, device adaptation, accessibility enforcement, and SSR safety for React / Next.js using motion/react. Foundation layer — all other motion skills depend on this. Use when setting up motion tokens, spring presets, reduced-motion handling, or SSR-safe an","files":["SKILL.md"]},{"name":"motion-patterns","description":"Production-ready animation patterns for React / Next.js — button, modal, toast, stagger, page transitions, exit animations, scroll, and layout — built on motion-foundations tokens and springs. Use when animating a specific UI element in React or Next.js — button, modal, toast, stagger, page transiti","files":["SKILL.md"]},{"name":"moxie-automation","description":"Automate Moxie tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"moz-automation","description":"Automate Moz tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"msa-structure-prediction-pipeline","description":"NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"msg91-automation","description":"Automate Msg91 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"msgraph-sdk","description":"Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365","files":["SKILL.md","references/dotnet.md","references/python.md","references/typescript.md"]},{"name":"msstore-cli","description":"Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Cente","files":["SKILL.md"]},{"name":"mstest-skill","description":"Generates MSTest tests in C#. Microsoft's built-in testing framework for .NET. Use when user mentions \"MSTest\", \"[TestMethod]\", \"[TestClass]\", \"Assert.AreEqual\". Triggers on: \"MSTest\", \"[TestMethod]\", \"[TestClass]\", \"Microsoft test framework\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"mtls-configuration","description":"Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.","files":["SKILL.md","references/details.md"]},{"name":"multi-agent-patterns","description":"This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.","files":["SKILL.md","references/frameworks.md","scripts/coordination.py"]},{"name":"multi-cloud-architecture","description":"Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.","files":["SKILL.md","references/multi-cloud-patterns.md","references/service-comparison.md"]},{"name":"multi-reviewer-patterns","description":"Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.","files":["SKILL.md","references/review-dimensions.md"]},{"name":"multi-stage-dockerfile","description":"Create optimized multi-stage Dockerfiles for any language or framework","files":["SKILL.md"]},{"name":"multi-tenant-llm-hosting","description":"Design secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.","files":["SKILL.md"]},{"name":"mural-automation","description":"Automate Mural tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"mutation-testing","description":"Configures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps. 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"my-venice-skill","description":"One or two sentences describing exactly when an agent should load this skill and what it covers. Mention the specific endpoints, parameters, or scenarios so the agent can confidently pick it — vague descriptions hurt skill selection.","files":["SKILL.md"]},{"name":"mybatis-patterns","description":"MyBatis and MyBatis-Spring patterns for mapper design, XML and annotation SQL, result mapping, dynamic SQL safety, transactions, batching, pagination, and query performance. Use when building or reviewing Java persistence code with MyBatis, Spring Boot, MyBatis-Spring, or MyBatis-based legacy applic","files":["SKILL.md"]},{"name":"mysql-patterns","description":"MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends. 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Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.","files":["SKILL.md","scripts/generate_image.py"]},{"name":"nano-banana-prompts","description":"Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.","files":["SKILL.md"]},{"name":"nano-nets-automation","description":"Automate Nano Nets tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nanoclaw-repl","description":"Operate and extend NanoClaw, ECC's zero-dependency session-aware REPL, with persistent markdown-backed sessions and slash commands for model switching, skill loading, session branching, cross-session search, history compaction, and export. 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nasdaq-automation","description":"Automate Nasdaq tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nasiko-control-plane","description":"Manage the experimental Nasiko CLI lifecycle through ECC — read-only status checks, consent-gated install of the pinned qualified version with dry-run preview, and ownership-checked uninstall, under explicit telemetry and secrets boundaries. Use when the user asks to install, inspect, or remove the ","files":["SKILL.md","agents/openai.yaml"]},{"name":"natural-writing","description":"Contains well-defined rules for creating natural, accurate, and readable writing. 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nemo-automodel-distributed-training","description":"Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemo-automodel-launcher-config","description":"Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemo-automodel-model-onboarding","description":"Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.","files":["SKILL.md","BENCHMARK.md","capabilities-and-precision.md","evals/evals.json","llm-patterns.md","moe-patterns.md","skill-card.md","vlm-patterns.md"]},{"name":"nemo-automodel-recipe-development","description":"Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemo-curator","description":"GPU-accelerated data curation for LLM training. 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Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, pa","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-fabric-integrate","description":"Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/config-mapping.md","references/results-and-errors.md","references/sdk-api-inventory.md","skill-card.md"]},{"name":"nemo-mbridge-mlm-bridge-training","description":"Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. 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Use for activation memory OOMs or regressions involving recompute_granularity, recompute_num_layers, recompute_modules, recompute_method, selective recompute, full rec","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-cpu-offloading","description":"Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-cuda-graphs","description":"Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-expert-parallel-overlap","description":"Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-hierarchical-context-parallel","description":"Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-megatron-fsdp","description":"Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-memory-tuning","description":"Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-comm-overlap","description":"MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-dispatcher-selection","description":"Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-hardware-configs","description":"Representative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-long-context","description":"Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-optimization-workflow","description":"Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-moe-vlm-training","description":"Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-parallelism-strategies","description":"Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-sequence-packing","description":"Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-perf-tp-dp-comm-overlap","description":"Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.","files":["SKILL.md","BENCHMARK.md","card.yaml","evals/evals.json","skill-card.md"]},{"name":"nemo-mbridge-recipe-recommender","description":"Recommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal. 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Use for PDFs, images, Office files, HTML, text, audio, and video; not for editing documents or web search.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemo-retriever-mcp","description":"Use when a task needs to search or add documents through NeMo Retriever MCP.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemo-rl-auto-research","description":"Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. 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Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, n","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"nemotron-policy-generator","description":"Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough words or an existing policy to V2 categories","files":["SKILL.md","BENCHMARK.md","assets/nemotron_system_prompt_template.txt","assets/policy_json_schema.json","assets/policy_md_template.md","evals/EVAL.md","evals/evals.json","references/content_safety_taxonomy.md","references/policy_patterns.md","references/target_models.md","skill-card.md"]},{"name":"nemotron-retrieval-recipes","description":"Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.","files":["SKILL.md","BENCHMARK.md","evals/EVAL.md","evals/evals.json","references/embed.md","references/evaluation.md","references/remote.md","references/rerank.md","skill-card.md"]},{"name":"neo4j-agent-memory-skill","description":"Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O","files":["SKILL.md","README.md"]},{"name":"neo4j-aura-graph-analytics-skill","description":"Serverless Aura Graph Analytics (AGA) GDS Sessions — covers GdsSessions,","files":["SKILL.md","README.md","references/limitations.md","references/workflows.md"]},{"name":"neo4j-document-import-skill","description":"Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.","files":["SKILL.md","README.md","references/kg-construction.md"]},{"name":"neo4j-driver-dotnet-skill","description":"Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery","files":["SKILL.md","README.md","references/object-mapping.md","references/performance.md","references/transactions.md"]},{"name":"neo4j-driver-go-skill","description":"Covers the Neo4j Go Driver v6 — driver lifecycle, ExecuteQuery, managed and","files":["SKILL.md","README.md","references/advanced-config.md","references/repository-pattern.md"]},{"name":"neo4j-driver-java-skill","description":"Neo4j Java Driver v6 — driver lifecycle, Maven/Gradle setup, executableQuery,","files":["SKILL.md","README.md","references/advanced-config.md","references/async-reactive.md","references/property-encryption.md"]},{"name":"neo4j-driver-javascript-skill","description":"Neo4j JavaScript/TypeScript Driver v6 — driver lifecycle, executeQuery,","files":["SKILL.md","README.md","references/advanced-patterns.md","references/browser-usage.md","references/data-types.md","references/rxjs-session.md"]},{"name":"neo4j-driver-python-skill","description":"Neo4j Python Driver v6 — driver lifecycle, execute_query, managed and explicit","files":["SKILL.md","README.md","references/async.md","references/data-types.md","references/performance.md","references/transactions.md"]},{"name":"neo4j-gds-skill","description":"Neo4j Graph Data Science (GDS) embedded plugin via Python client or Cypher —","files":["SKILL.md","README.md","references/algorithms.md","references/graph-projection.md"]},{"name":"neo4j-genai-plugin-skill","description":"Use Neo4j GenAI Plugin ai.text.* functions and procedures for in-Cypher","files":["SKILL.md","README.md","references/providers.md"]},{"name":"neo4j-graphql-skill","description":"Build and configure a GraphQL API backed by Neo4j using @neo4j/graphql v7 (current) or v5 (LTS).","files":["SKILL.md","README.md","references/search-directives.md"]},{"name":"neo4j-graphrag-skill","description":"Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python","files":["SKILL.md","README.md","references/kg-builder.md","references/knowledge-graph-construction.md","references/pipeline-dsl.md","references/providers.md","references/retrievers.md"]},{"name":"neo4j-import-skill","description":"Import structured data into Neo4j — LOAD CSV, CALL IN TRANSACTIONS, neo4j-admin","files":["SKILL.md","README.md","references/data-importer-gui.md","references/driver-batch-write.md","references/post-import-refactoring.md"]},{"name":"neo4j-kafka-skill","description":"Configure and operate the Neo4j Connector for Kafka (sink + source) and the","files":["SKILL.md","README.md","references/cdc-api.md","references/sink-config.md"]},{"name":"neo4j-mcp-skill","description":"Use when installing, configuring, or troubleshooting the official Neo4j MCP server","files":["SKILL.md","README.md"]},{"name":"neo4j-migration-skill","description":"Migrates Neo4j driver code and Cypher queries from older versions (4.x, 5.x)","files":["SKILL.md","README.md","references/cypher-queries.md","references/dotnet-driver.md","references/go-driver.md","references/java-driver.md","references/javascript-driver.md","references/python-driver.md","references/relational-to-graph.md"]},{"name":"neo4j-modeling-skill","description":"Design, review, and refactor Neo4j graph data models. Use when choosing node","files":["SKILL.md","README.md"]},{"name":"neo4j-nvl-skill","description":"Neo4j Visualization Library (NVL) — framework-agnostic graph rendering for the browser.","files":["SKILL.md","README.md","references/api-surface.md","references/troubleshooting.md"]},{"name":"neo4j-query-tuning-skill","description":"Diagnoses and fixes slow Neo4j Cypher queries by reading execution plans, identifying","files":["SKILL.md","README.md","references/plan-operators.md","references/stats-and-monitoring.md"]},{"name":"neo4j-security-skill","description":"Programmatic security management in Neo4j — RBAC/ABAC, user lifecycle (CREATE/ALTER/DROP USER),","files":["SKILL.md","README.md","references/privilege-reference.md"]},{"name":"neo4j-snowflake-graph-analytics-skill","description":"Run Neo4j Graph Analytics algorithms (PageRank, Louvain, WCC, Dijkstra, KNN,","files":["SKILL.md","README.md","references/algorithms.md"]},{"name":"neo4j-spark-skill","description":"Use when reading from or writing to Neo4j with Apache Spark or Databricks using the","files":["SKILL.md","README.md","references/read-patterns.md","references/write-patterns.md"]},{"name":"neo4j-spring-data-skill","description":"Use when building Spring Boot applications with Neo4j using Spring Data Neo4j (SDN 7.x/8.x) —","files":["SKILL.md","README.md","references/modeling-pitfalls.md"]},{"name":"neo4j-vector-index-skill","description":"Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN),","files":["SKILL.md","README.md","references/hybrid-search.md"]},{"name":"neon-ai-gateway","description":"One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, and more), or avoid juggling s","files":["SKILL.md"]},{"name":"neon-auth","description":"Add authentication to a new app. Use for \"add auth\", \"add login\", Neon Auth (Managed Better Auth), identity routing, sign-up, sign-in, password reset, email OTP, magic links, organizations, phone OTP, OAuth, passkeys, MFA, trusted domains, invalid domain, and @neondatabase/auth. No existing identity","files":["SKILL.md","references/managed-auth.md","references/self-managed.md"]},{"name":"neon-functions","description":"Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook","files":["SKILL.md","references/ai-sdk.md","references/function-triggers.md","references/mastra-studio.md","references/mcp.md","references/native-binaries.md","references/production-hardening.md","references/sentry.md","references/sse.md"]},{"name":"neon-object-storage","description":"S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their app or agent — ","files":["SKILL.md"]},{"name":"neon-postgres","description":"Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP allow lists, logical replication, and Lakebase Search. Use when the work is an existing DATABASE_URL, SQL,","files":["SKILL.md","references/full-text-search.md","references/hybrid-search.md","references/lakebase-search-drizzle.md","references/vector-search.md"]},{"name":"neon-postgres-branches","description":"Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, resetting a branch from its parent, branch expiration and CI/CD branch lif","files":["SKILL.md"]},{"name":"neon-postgres-egress-optimizer","description":"Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, \"why is my Neon bill so high\", \"database costs jumped\", SELECT * optimization, query overfetching, ","files":["SKILL.md"]},{"name":"nestjs-api-standards","description":"Create standardized API response envelopes, paginated endpoints, and error interceptors in NestJS. Use when implementing response wrappers, pagination DTOs, or global error formats.","files":["SKILL.md","evals/evals.json","references/error-response.md","references/implementation.md","references/pagination-wrapper.md"]},{"name":"nestjs-architecture","description":"Design NestJS module boundaries and provider ownership. Use only when structuring feature/core/shared modules, controller-service boundaries, or provider lifetime; defer JWT/security, caching, and unrelated request-pipeline recipes.","files":["SKILL.md","evals/evals.json","references/advanced-patterns.md","references/dynamic-module.md","references/implementation.md"]},{"name":"nestjs-bullmq","description":"Implement BullMQ job workflows in NestJS. Use when building queue processors, redis-throttler, Upstash limits, idle polling, stalled jobs, and retention policies.","files":["SKILL.md","evals/evals.json","references/patterns.md"]},{"name":"nestjs-caching","description":"Implement multi-level caching, invalidation patterns, and stampede protection in NestJS. Use when adding Redis caching layers, configuring cache-manager interceptors, implementing stale-while-revalidate, or preventing cache stampedes in NestJS services.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-controllers-services","description":"Separate Controllers from Services and build Custom Decorators in NestJS. Use when defining NestJS controllers, services, or custom parameter decorators.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"nestjs-database","description":"Implement data access patterns, Scaling, Migrations, and ORM selection in NestJS. Use when implementing TypeORM/Prisma repositories, migrations, or database patterns in NestJS.","files":["SKILL.md","evals/evals.json","references/persistence_strategy.md"]},{"name":"nestjs-deployment","description":"Containerize NestJS apps with multi-stage Docker builds, tune Node.js memory, and implement graceful shutdown hooks. Use when writing Dockerfiles, configuring K8s deployments, or adding shutdown hooks for NestJS.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-documentation","description":"Automate Swagger/OpenAPI documentation and standardize API response schemas in NestJS. Use when generating OpenAPI specs, documenting paginated or generic responses, configuring the Nest CLI Swagger plugin, or publishing versioned API docs.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-error-handling","description":"Implement Global Exception Filters and standard error formats in NestJS. Use when implementing global exception filters or standardizing error responses in NestJS.","files":["SKILL.md","evals/evals.json"]},{"name":"nestjs-expert","description":"Creates and configures NestJS modules, controllers, services, DTOs, guards, and interceptors for enterprise-grade TypeScript backend applications. Use when building NestJS REST APIs or GraphQL services, implementing dependency injection, scaffolding modular architecture, adding JWT/Passport authenti","files":["SKILL.md","references/authentication.md","references/controllers-routing.md","references/dtos-validation.md","references/migration-from-express.md","references/services-di.md","references/testing-patterns.md"]},{"name":"nestjs-file-uploads","description":"Validate and stream file uploads securely with Validation and S3 streaming in NestJS. Use when implementing secure file uploads, validation, or S3 streaming in NestJS.","files":["SKILL.md","evals/evals.json"]},{"name":"nestjs-notification","description":"Build dual-write notification services with database persistence and FCM push delivery in NestJS. Use when creating notification entities, sending push via FCM, or implementing in-app notification feeds.","files":["SKILL.md","evals/evals.json","references/implementation.md","references/service.md","references/types.md"]},{"name":"nestjs-observability","description":"Configure structured logging with Pino, Prometheus metrics, and health checks for NestJS services. Use when adding JSON logging, request tracing with correlation IDs, Prometheus metric endpoints, or liveness/readiness health checks.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-patterns","description":"NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends. Use when building or reviewing a NestJS backend — modules, providers, DTO validation, guards, or interceptors.","files":["SKILL.md"]},{"name":"nestjs-performance","description":"Optimize NestJS throughput with Fastify adapter, singleton scope enforcement, compression, and query projections. Use when switching to Fastify, diagnosing request-scoped bottlenecks, or profiling API overhead.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-real-time","description":"Implement WebSocket gateways with Socket.io and Server-Sent Events endpoints in NestJS. Use when building chat features, live feeds, or choosing between WebSocket and SSE for real-time communication.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-scheduling","description":"Implement distributed cron jobs with Redis-based locking and BullMQ offloading in NestJS. Use when adding @Cron scheduled tasks, preventing duplicate runs across pods, or delegating heavy work to queue workers.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"nestjs-search","description":"Integrate Elasticsearch and implement search index Sync patterns in NestJS. Use when integrating Elasticsearch or implementing search index sync in NestJS.","files":["SKILL.md","evals/evals.json"]},{"name":"nestjs-security","description":"Implement JWT authentication, RBAC guards, Helmet hardening, and Argon2 hashing in NestJS. Use when adding auth strategies, role-based access control, CSRF protection, or security headers.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"nestjs-security-isolation","description":"Enforce multi-tenant isolation and PostgreSQL Row Level Security in NestJS. Use when enforcing tenant isolation or PostgreSQL RLS in NestJS multi-tenant apps.","files":["SKILL.md","evals/evals.json","references/auth-logic.md","references/implementation-patterns.md","references/rls-patterns.md"]},{"name":"nestjs-testing","description":"Write Unit and E2E tests with Jest, mocking strategies, and database isolation in NestJS. Use when writing NestJS unit tests, E2E tests with supertest, or mock providers.","files":["SKILL.md","evals/evals.json","references/improve-coverage.md","references/patterns.md","references/strict-typescript-testing.md"]},{"name":"nestjs-transport","description":"Configure gRPC, RabbitMQ, and monorepo contract patterns for NestJS microservices. Use when setting up gRPC service-to-service calls, RabbitMQ event-driven messaging, shared contract libraries, or microservice exception handling in NestJS.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"netlify-access-control","description":"Picks the right Netlify site-protection layer and disambiguates the three unrelated \"auth\" concepts users conflate — app-user login (Netlify Identity), site-load gating (Password Protection / project visibility), and dashboard SAML SSO. Use it when asked to password-protect a site or Deploy Preview,","files":["SKILL.md","references/two-layer-pattern.md"]},{"name":"netlify-agent-runner","description":"Run AI agent tasks remotely on Netlify using Claude, Codex, or Gemini. Use when the user wants to run an AI agent on their site, get a second opinion from another model, or delegate development tasks to run remotely against their repo.","files":["SKILL.md"]},{"name":"netlify-ai-gateway","description":"Use Netlify AI Gateway to call OpenAI, Anthropic Claude, Google Gemini, TypeSafe (Jev), or OpenRouter-hosted models (xAI/DeepSeek/Meta/Mistral/Qwen) from Netlify Functions or Edge Functions without managing provider accounts or API keys. Reach for this when adding an AI feature to a Netlify app — a ","files":["SKILL.md"]},{"name":"netlify-blobs","description":"Store and retrieve unstructured objects, files, and cache-like state on Netlify with the @netlify/blobs module. Use when persisting user file uploads (images/documents), caching computed output from functions or Background Functions, serving downloadable assets, storing JSON blobs keyed by ID, or se","files":["SKILL.md"]},{"name":"netlify-caching","description":"Cache dynamic and static responses on Netlify's CDN from Functions, Edge Functions, and proxies. Use when you add caching or cache-control headers to a function response, tune cache TTL or stale-while-revalidate, set up the durable cache, vary a cache key by query/header/cookie/country/language, pur","files":["SKILL.md"]},{"name":"netlify-config","description":"Configure Netlify builds and routing via netlify.toml, _redirects, and _headers. Use when setting a build command or publish directory, adding redirects or rewrites or proxies, adding an SPA fallback rewrite, setting custom response headers or basic auth, managing environment variables and secrets, ","files":["SKILL.md"]},{"name":"netlify-database","description":"Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy previews, and migrating an existing Postgres project onto Netlify. Use when adding a ","files":["SKILL.md","references/cli-commands.md","references/legacy-extension.md","references/local-dev.md","references/migration-from-extension.md","references/migrations.md","references/operational-footguns.md"]},{"name":"netlify-deploy","description":"Create, configure, and manage Netlify deploys from code — reach for this when setting up Git continuous deployment, running netlify deploy or netlify deploy --prod from the CLI, writing netlify.toml deploy contexts, adding a Deploy to Netlify button, wiring build hooks, configuring Deploy Previews o","files":["SKILL.md","references/cli-commands.md","references/deployment-patterns.md","references/netlify-toml.md"]},{"name":"netlify-edge-functions","description":"Write and configure Netlify Edge Functions — TypeScript/JavaScript handlers running in a Deno runtime at the network edge. Use when adding auth middleware or auth redirects, geolocation or localization logic, A/B testing or personalization, request/response transforms (rewrites/redirects), or edge S","files":["SKILL.md"]},{"name":"netlify-forms","description":"Serverless form handling on Netlify-hosted sites — detects HTML forms at deploy time, stores submissions, filters spam, and sends notifications. Use when adding a contact form, lead-capture form, file-upload form, or newsletter signup to a Netlify site; wiring AJAX form submission; setting up a cust","files":["SKILL.md"]},{"name":"netlify-frameworks","description":"Deploy and configure web frameworks on Netlify — build settings and SSR/edge adapters plus local platform emulation and env vars. Use when setting up or fixing a framework deploy (Next.js / Astro / Nuxt / SvelteKit / Remix / React Router / TanStack Start / SolidStart / Gatsby / Angular / Vite / Expr","files":["SKILL.md","references/astro.md","references/nextjs.md","references/nuxt.md","references/sveltekit.md","references/tanstack.md","references/vite.md"]},{"name":"netlify-functions","description":"Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go. Use this when adding an API endpoint or backend route, adding a contact form handler, wiring auth or Identity signup/login hooks, building streaming or AI-proxy responses, scheduling cron jobs, running long b","files":["SKILL.md"]},{"name":"netlify-identity","description":"Add user authentication to a Netlify site with @netlify/identity — signup/login/logout, Google/GitHub/GitLab/Bitbucket OAuth, server-side getUser() checks, role-based access control, and Identity event functions. Use it when a task involves adding a login or signup form, gating content to members or","files":["SKILL.md","references/advanced-patterns.md","references/authorization-and-sessions.md"]},{"name":"netlify-image-cdn","description":"Transforms images on demand via Netlify Image CDN's /.netlify/images endpoint with query parameters for resizing/cropping/format/quality. Use when adding image optimization or responsive images, converting formats (WebP/AVIF/PNG), generating thumbnails or blur placeholders, serving remote/third-part","files":["SKILL.md","references/user-uploads.md"]},{"name":"netlify-mcp-servers","description":"Build, deploy, and secure Model Context Protocol (MCP) servers on Netlify. Use whenever the task involves creating an MCP server, exposing an app or API to AI agents as MCP tools, letting Claude / Cursor / Claude Code call a custom remote server, or adding MCP tools to an existing Netlify site. Cove","files":["SKILL.md","references/authentication.md","references/connecting-clients.md","references/file-uploads.md"]},{"name":"netmiko-ssh-automation","description":"Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling. Use when automating network device access with Python Netmiko, whether collecting state or pushing guarded config changes.","files":["SKILL.md"]},{"name":"network-appliance-offensive","description":"Offensive testing of perimeter network appliances and VPN crypto — IKE/IPsec (aggressive-mode, transform/DH enum, NAT-T), Check Point SIC/OPSEC, safe firmware/patch-level inference for FortiGate/PAN-OS/Cisco ASA/Citrix feeding CVE applicability, NTLM Type-2 target-info decode, handshake-completion T","files":["SKILL.md"]},{"name":"network-bgp-diagnostics","description":"Diagnostics-only BGP troubleshooting patterns for neighbor state, route exchange, prefix policy, AS path inspection, and safe evidence collection. Use when a BGP neighbor is down, routes are missing, or prefix policy and AS path need inspection.","files":["SKILL.md"]},{"name":"network-config-validation","description":"Pre-deployment checks for router and switch configuration, including dangerous commands, duplicate addresses, subnet overlaps, stale references, management-plane risk, and IOS-style security hygiene. Use when reviewing a router or switch configuration before deployment.","files":["SKILL.md"]},{"name":"network-interface-health","description":"Diagnose interface errors, drops, CRCs, duplex mismatches, flapping, speed negotiation issues, and counter trends on routers, switches, and Linux hosts. Use when an interface shows errors, drops, CRCs, flapping, or a duplex or speed mismatch.","files":["SKILL.md"]},{"name":"networkx","description":"Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), rea","files":["SKILL.md","references/algorithms.md","references/generators.md","references/graph-basics.md","references/io.md","references/review.md","references/visualization.md"]},{"name":"neurokit2","description":"Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or de","files":["SKILL.md","references/bio_module.md","references/complexity.md","references/ecg_cardiac.md","references/eda.md","references/eeg.md","references/emg.md","references/eog.md","references/epochs_events.md","references/hrv.md","references/ppg.md","references/rsp.md","references/signal_processing.md","scripts/_common.py","scripts/ecg_hrv_pipeline.py","scripts/eda_pipeline.py","scripts/generate_synthetic.py","scripts/inspect_signal.py","scripts/plan_epochs.py","scripts/validate_multimodal.py"]},{"name":"neuronwriter-automation","description":"Automate Neuronwriter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"neuropixels-analysis","description":"Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual re","files":["SKILL.md","assets/analysis_template.py","references/AI_CURATION.md","references/ANALYSIS.md","references/AUTOMATED_CURATION.md","references/MOTION_CORRECTION.md","references/PREPROCESSING.md","references/QUALITY_METRICS.md","references/SPIKE_SORTING.md","references/api_reference.md","references/plotting_guide.md","references/standard_workflow.md","scripts/_common.py","scripts/compute_metrics.py","scripts/explore_recording.py","scripts/export_to_phy.py","scripts/neuropixels_pipeline.py","scripts/preprocess_recording.py","scripts/run_sorting.py"]},{"name":"neutrino-automation","description":"Automate Neutrino tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"neverbounce-automation","description":"Automate Neverbounce tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"new-terraform-provider","description":"Use this when scaffolding a new Terraform provider with the Plugin Framework: workspace layout, go module setup, provider server main.go, and a provider.go with schema and Configure. Also use when a user wants to start building a provider for a new API or asks how to begin a terraform-provider-* pro","files":["SKILL.md","assets/main.go","assets/provider.go"]},{"name":"newman-cicd-integration","description":"Generate ready-to-use CI/CD pipeline configurations that install and run Newman for automated API testing. Use this skill whenever the user wants to run Newman in a CI pipeline, integrate Postman collections into automated builds, set up API tests in GitHub Actions, GitLab CI, Jenkins, Azure DevOps,","files":["SKILL.md"]},{"name":"newman-report-analyzer","description":"Analyze Newman test run output, JSON reports, and JUnit XML results to summarize failures, diagnose root causes, identify slow requests, and suggest fixes. Use this skill whenever the user shares Newman output (terminal logs, JSON export, JUnit XML, or HTMLextra report data), wants to understand why","files":["SKILL.md"]},{"name":"newman-script-helper","description":"Generate Newman CLI run commands with the correct flags, options, and configurations. Use this skill whenever the user wants to run a Postman collection via Newman, needs help with Newman command syntax, wants to configure reporters (HTML, JUnit, CLI, JSON), set environments or globals, run specific","files":["SKILL.md"]},{"name":"news-api-automation","description":"Automate News API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"next-intl-add-language","description":"Add new language to a Next.js + next-intl application","files":["SKILL.md"]},{"name":"nextdns-automation","description":"Automate Nextdns tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nextflow","description":"Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. 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Use when building Next.js applications, implementing SSR/SSG, or optimizing React Server Components.","files":["SKILL.md","references/details.md"]},{"name":"nextjs-architecture","description":"Structure Next.js projects with Feature-Sliced Design layers, domain-grouped slices, and strict import hierarchy. Use when organizing features into FSD layers, enforcing slice boundaries, or keeping page.tsx thin.","files":["SKILL.md","evals/evals.json","references/BUNDLING.md","references/DEBUG_TRICKS.md","references/RSC_BOUNDARIES.md","references/RUNTIME_SELECTION.md","references/fsd-structure.md","references/implementation.md"]},{"name":"nextjs-authentication","description":"Secure token storage (HttpOnly Cookies) and Middleware patterns. 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Use when centralizing database queries, transforming raw data to DTOs, adding server-only guards, or preventing sensitive data from reaching Client Components.","files":["SKILL.md","evals/evals.json","references/implementation.md","references/patterns.md"]},{"name":"nextjs-data-fetching","description":"Implement Fetch API, Caching, and Revalidation strategies in Next.js. Use when fetching data, configuring cache behavior, or implementing revalidation in Next.js.","files":["SKILL.md","evals/evals.json","references/usage-examples.md"]},{"name":"nextjs-developer","description":"Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. 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Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.","files":["SKILL.md","references/examples.md","references/glossary.md"]},{"name":"notion-knowledge-capture","description":"Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","evaluations/README.md","evaluations/conversation-to-wiki.json","evaluations/decision-record.json","examples/conversation-to-faq.md","examples/decision-capture.md","examples/how-to-guide.md","reference/database-best-practices.md","reference/decision-log-database.md","reference/documentation-database.md","reference/faq-database.md","reference/how-to-guide-database.md","reference/learning-database.md","reference/team-wiki-database.md"]},{"name":"notion-meeting-intelligence","description":"Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","evaluations/README.md","evaluations/decision-meeting-prep.json","evaluations/status-meeting-prep.json","examples/customer-meeting.md","examples/executive-review.md","examples/project-decision.md","examples/sprint-planning.md","reference/brainstorming-template.md","reference/decision-meeting-template.md","reference/one-on-one-template.md","reference/retrospective-template.md","reference/sprint-planning-template.md","reference/status-update-template.md","reference/template-selection-guide.md"]},{"name":"notion-research-documentation","description":"Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","evaluations/README.md","evaluations/basic-research.json","evaluations/research-to-database.json","examples/competitor-analysis.md","examples/market-research.md","examples/technical-investigation.md","examples/trip-planning.md","reference/advanced-search.md","reference/citations.md","reference/comparison-format.md","reference/comparison-template.md","reference/comprehensive-report-format.md","reference/comprehensive-report-template.md","reference/format-selection-guide.md","reference/quick-brief-format.md","reference/quick-brief-template.md","reference/research-summary-format.md","reference/research-summary-template.md"]},{"name":"notion-spec-to-implementation","description":"Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","evaluations/README.md","evaluations/basic-spec-implementation.json","evaluations/spec-to-tasks.json","examples/api-feature.md","examples/database-migration.md","examples/ui-component.md","reference/milestone-summary-template.md","reference/progress-tracking.md","reference/progress-update-template.md","reference/quick-implementation-plan.md","reference/spec-parsing.md","reference/standard-implementation-plan.md","reference/task-creation-template.md","reference/task-creation.md"]},{"name":"npm-automation","description":"Automate NPM tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"nuget-manager","description":"Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versions. It enforces using `dotnet` CLI for package management and provides strict procedures for direct file edits only when updating versions.","files":["SKILL.md"]},{"name":"nunit-skill","description":"Generates NUnit 3 tests in C#. Covers Assert.That constraint model, parameterized tests, setup/teardown, and Moq mocking. Use when user mentions \"NUnit\", \"[TestFixture]\", \"[Test]\", \"Assert.That\", \"C# unit test\". Triggers on: \"NUnit\", \"[Test]\", \"Assert.That\", \"C# test\", \"NUnit3\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"nutrient-document-processing","description":"Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.","files":["SKILL.md"]},{"name":"nuxt","description":"Nuxt full-stack Vue framework with SSR, auto-imports, and file-based routing. Use when working with Nuxt apps, server routes, useFetch, middleware, or hybrid rendering.","files":["SKILL.md","GENERATION.md","references/advanced-hooks.md","references/advanced-layers.md","references/advanced-module-authoring.md","references/best-practices-data-fetching.md","references/best-practices-ssr.md","references/core-cli.md","references/core-config.md","references/core-data-fetching.md","references/core-deployment.md","references/core-directory-structure.md","references/core-modules.md","references/core-routing.md","references/features-components-autoimport.md","references/features-components.md","references/features-composables.md","references/features-server.md","references/features-state.md","references/rendering-modes.md"]},{"name":"nuxt-core","description":"Nuxt 5 core framework with project setup, routing, SEO, error handling, and Vite 8/Nitro v3 configuration. Use when creating Nuxt 5 apps, setting up routing, or migrating config.","files":["SKILL.md","templates/nuxt.config.ts"]},{"name":"nuxt-data","description":"| Nuxt 4 data management: composables, data fetching with useFetch/useAsyncData, and state management with useState and Pinia. Use when: creating custom composables, fetching data with useFetch or useAsyncData, managing global state with useState, integrating Pinia, debugging reactive data issues, o","files":["SKILL.md","references/composables.md","references/data-fetching.md","templates/composables/useAuth.ts"]},{"name":"nuxt-production","description":"| Nuxt 4 production optimization: hydration, performance, testing with Vitest, deployment to Cloudflare/Vercel/Netlify, and v4 migration. Use when: debugging hydration mismatches, optimizing performance and Core Web Vitals, writing tests with Vitest, deploying to Cloudflare Pages/Workers/Vercel/Netl","files":["SKILL.md","references/deployment-cloudflare.md","references/hydration.md","references/performance.md","references/testing-vitest.md","templates/tests/components/BlogPost.test.ts","templates/wrangler.toml"]},{"name":"nuxt-server","description":"Nuxt 5 server-side development with Nitro v3, h3 v2, API routes, middleware, and database integration. Use when creating server routes, integrating D1/Drizzle, or migrating from Nitro v2.","files":["SKILL.md","references/server.md","templates/server/api/blog/index.get.ts"]},{"name":"nuxt-ui","description":"Build UIs with @nuxt/ui v4 — 125+ accessible Vue components with Tailwind CSS theming. Use when creating interfaces, customizing themes to match a brand, building forms, or composing layouts like dashboards, docs sites, and chat interfaces.","files":["SKILL.md","references/components.md","references/guidelines/component-selection.md","references/guidelines/conventions.md","references/guidelines/design-system.md","references/guidelines/forms.md","references/layouts/chat.md","references/layouts/dashboard.md","references/layouts/docs.md","references/layouts/editor.md","references/layouts/landing.md","references/recipes/auth.md","references/recipes/data-tables.md","references/recipes/navigation.md","references/recipes/overlays.md"]},{"name":"nuxt4-patterns","description":"Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching.","files":["SKILL.md"]},{"name":"nv-generate-mr","description":"Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/README.md","fixtures/default_mri_t1.json","fixtures/mri_flair.json","fixtures/mri_t2.json","references/fov-and-downloads.md","scripts/run_mr.py","skill-card.md","skill_manifest.yaml","tests/test_run_mr.py","validators/output_schema.json"]},{"name":"nv-generate-mr-brain","description":"Used for generating synthetic T1, T2, FLAIR, SWI, or MRA brain MRI volumes with NV-Generate-CTMR MR-Brain v1. Not for production training data.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/README.md","fixtures/default_mri_t1.json","fixtures/mri_flair_skull_stripped.json","fixtures/mri_mra.json","fixtures/mri_t2.json","references/fov-and-downloads.md","scripts/run_mr_brain.py","skill-card.md","skill_manifest.yaml","tests/test_run_mr_brain.py","validators/output_schema.json"]},{"name":"nv-generate-vae-finetune","description":"Used for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Not for clinical or production data approval.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/README.md","fixtures/preflight_datalist.json","fixtures/preflight_dataset/imagesTr/placeholder_mri_train.txt","fixtures/preflight_dataset/imagesVal/placeholder_mri_val.txt","scripts/run_vae_finetune.py","skill-card.md","skill_manifest.yaml","tests/test_run_vae_finetune.py","validators/output_schema.json"]},{"name":"nv-reason-ct","description":"Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. Not for diagnosis, treatment, or clinical reporting.","files":["SKILL.md","BENCHMARK.md","EXAMPLES.md","evals/evals.json","fixtures/example_request.json","scripts/run_nv_reason_ct.py","skill-card.md","skill_manifest.yaml","tests/conftest.py","tests/test_nv_reason_ct.py","tests/test_upstream_examples.py","validators/output_schema.json"]},{"name":"nv-reason-cxr","description":"Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/synthetic_cxr_input.json","scripts/run_nv_reason_cxr.py","skill-card.md","skill_manifest.yaml","tests/test_nv_reason_cxr.py","validators/output_schema.json"]},{"name":"nv-segment-ct","description":"Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","fixtures/fetch_spleen_fixture.py","fixtures/generate_preflight_fixture.py","scripts/run_vista3d.py","skill-card.md","skill_manifest.yaml","tests/test_run_vista3d.py","validators/output_schema.json"]},{"name":"nvflare-autofl-report","description":"Generate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/report-contract.md","scripts/generate_report.py","skill-card.md","tests/helper_scripts.md"]},{"name":"nvflare-convert-lightning","description":"Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names federated/NVFLARE conversion or asks multiple sites to train collaboratively while keeping each site's data local, an","files":["SKILL.md","BENCHMARK.md","assets/lightning_client.py","evals/config.yml","evals/evals.json","evals/files/SOURCE.md","evals/files/external-data-lightning/model.py","evals/files/external-data-lightning/train.py","evals/files/factory-lightning/train.py","evals/files/gpu-device-lightning/model.py","evals/files/gpu-device-lightning/train.py","evals/files/hello-lightning/model.py","evals/files/hello-lightning/train.py","evals/files/routing-dual/train_huggingface.py","evals/files/routing-dual/train_lightning.py","evals/files/vocab-lightning/model.py","evals/files/vocab-lightning/train.py","references/lightning-conversion.md","references/lightning-ddp-and-tracking.md","references/lightning-detection.md","references/lightning-validation.md","skill-card.md"]},{"name":"nvflare-diagnose-job","description":"Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded evidence and mapping failure patterns to recove","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/files/SOURCE.md","evals/files/partial_log_visibility.json","references/evidence-collection.md","references/failure-patterns.md","skill-card.md"]},{"name":"nvflare-orient","description":"Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.","files":["SKILL.md","BENCHMARK.md","evals/config.yml","evals/evals.json","references/orientation-routing.md","skill-card.md"]},{"name":"nvflare-shared","description":"Internal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset.","files":["SKILL.md","BENCHMARK.md","assets/aggregator.py","config/skillspector-baseline.yaml","evals/evals.json","references/conversion-common.md","references/conversion-workflow.md","references/dependency-install.md","references/metrics-and-artifact-reporting.md","references/pytorch-family-recipe-construction.md","references/pytorch-family-recipe-selection.md","references/pytorch-model-exchange.md","references/runtime-output-guidance.md","references/site-data-and-paths.md","references/validation-evidence.md","skill-card.md"]},{"name":"nvidia-app","description":"NVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/connection.md","references/general-tools.md","references/mcp-tool-contract.md","references/overlay-capture.md","references/overlay-state.md","skill-card.md"]},{"name":"nvidia-broadcast","description":"Use when controlling NVIDIA Broadcast through MCP to apply effects, process local media, select devices, or change camera resolution, or when Broadcast is missing or too old to expose the gateway and the user wants it installed; not for Broadcast app settings outside the MCP gateway.","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yaml","evals/evals.json","references/connection.md","references/effects.md","references/examples.md","references/file-processing.md","references/installation.md","references/mcp-tool-contract.md","references/troubleshooting.md","scripts/launch_broadcast.ps1","skill-card.md"]},{"name":"nvidia-ontology-management","description":"Model and publish semantic definitions in Auto Ontology. Use for terms, relationships, measures, imports, and governed results—not deployment or querying.","files":["SKILL.md","BENCHMARK.md","assets/runtime-contract.yaml","evals/evals.json","references/modeling.md","references/publication.md","references/write-api.md","skill-card.md"]},{"name":"nvidia-ontology-query","description":"Query Auto Ontology and validate generated SQL, rows, and answers. Use for MCP or REST access, readiness, authentication, conversations, and grounded questions.","files":["SKILL.md","BENCHMARK.md","assets/runtime-contract.yaml","evals/evals.json","references/query-validation.md","references/stack.md","skill-card.md"]},{"name":"nvidia-skill-finder","description":"Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, Isaac, RAPIDS/cuDF, cuPyNumer","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","references/taxonomy-routing.md","skill-card.md"]},{"name":"nvmolkit-usage","description":"Use when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/trigger_evals.json","references/advanced-usage.md","skill-card.md"]},{"name":"nwb-conversion","description":"Converts neuroscience acquisition data to Neurodata Without Borders files with NeuroConv and PyNWB, preserves metadata and timebases, checks evidence-based clock alignment, and produces schema validation, NWB Inspector findings and round-trip checks. Use for NWB conversion and synchronization of pla","files":["SKILL.md","assets/session-template.json","references/input-contract.md","references/upstream-review.md","scripts/convert_session.py"]},{"name":"nx-workspace-patterns","description":"Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.","files":["SKILL.md","references/details.md"]},{"name":"oauth","description":"Implements OAuth 2.0/2.1 authorization flows in Fastify applications — configures authorization code with PKCE, client credentials, device flow, refresh token rotation, JWT validation, and token introspection/revocation endpoints. Use when setting up authentication, authorization, login flows, acces","files":["SKILL.md","tile.json"]},{"name":"oauth-implementation","description":"OAuth 2.0 and OpenID Connect authentication with secure flows. Use for third-party integrations, SSO systems, token-based API access, or encountering authorization code flow, PKCE, token refresh, scope management errors.","files":["SKILL.md","references/python-java.md"]},{"name":"object-storage","description":"Configure object storage with S3, GCS, and MinIO. Implement lifecycle policies and access controls. Use when managing object storage.","files":["SKILL.md"]},{"name":"observability-and-instrumentation","description":"Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the availabl","files":["SKILL.md"]},{"name":"observability-k8s-investigation","description":"Investigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with appl","files":["SKILL.md","references/failure-modes.md","references/query-recipes.md"]},{"name":"observability-llm-obs","description":"Answer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, toke","files":["SKILL.md","references/esql-recipes.md","references/genai-fields.md","references/integrations.md"]},{"name":"observability-service-reliability","description":"Design and operate service reliability targets in Elastic Observability: choose an SLI type and a defensible target, pick a time window and budgeting method, create and maintain SLOs through the Kibana API, attach burn-rate alert rules, and decide when an SLO is the wrong instrument and a threshold ","files":["SKILL.md","references/burn-rate-rules.md","references/documentation.md","references/slo-api-schemas.md"]},{"name":"observability-sre-triage","description":"Triage a degraded or suspect service end to end: read SLO status and burn rate, check active alerting rules and ML anomalies, measure throughput, latency, and error rate, assess dependency health and infrastructure saturation, and funnel logs down to the failures that explain it. Use when someone as","files":["SKILL.md","references/apm-signals.md","references/log-investigation.md","references/slo-and-alerts.md"]},{"name":"ocr-web-service-automation","description":"Automate OCR Web Service tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ocrspace-automation","description":"Automate Ocrspace tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"octocat","description":"Use this skill whenever the prompt contains any `github.com` URL, even if the user only pastes a link and gives no GitHub-specific keywords. Handles git and GitHub operations using the gh CLI. Triggers include any GitHub link to an issue, pull request, commit, compare page, Actions run, release, dis","files":["SKILL.md","rules/security-advisory-comments.md","tile.json"]},{"name":"omc-plan","description":"Strategic planning with optional interview workflow","files":["SKILL.md"]},{"name":"omc-review","description":"Evaluate finished work for defects, risk, and simplification before it ships","files":["SKILL.md"]},{"name":"omero-integration","description":"Inspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use this skill for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.","files":["SKILL.md","references/advanced.md","references/connection.md","references/data_access.md","references/image_processing.md","references/metadata.md","references/rois.md","references/scripts.md","references/sources.md","references/tables.md","scripts/export_image_metadata.py","scripts/inventory.py","scripts/omero_common.py","scripts/plan_transfer.py","scripts/validate_config.py"]},{"name":"omnibus-instrument-error-tracking","description":"Add PostHog error tracking to capture and monitor exceptions. Use after implementing features or reviewing PRs to ensure errors are tracked with stack traces and source maps. Also handles initial PostHog SDK setup if not yet installed.","files":["SKILL.md","references/alerts.md","references/android.md","references/angular.md","references/assigning-issues.md","references/fingerprints.md","references/flutter.md","references/go.md","references/hono.md","references/monitoring.md","references/nextjs.md","references/node.md","references/nuxt.md","references/python.md","references/react-native.md","references/react.md","references/ruby-on-rails.md","references/ruby.md","references/svelte.md","references/upload-source-maps.md","references/web.md"]},{"name":"omnibus-instrument-logs","description":"Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured.","files":["SKILL.md","references/best-practices.md","references/datadog.md","references/debug-logs-mcp.md","references/go.md","references/java.md","references/link-session-replay.md","references/nextjs.md","references/nodejs.md","references/other.md","references/python.md","references/search.md","references/start-here.md","references/troubleshooting.md"]},{"name":"on-call-handoff-patterns","description":"Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use this skill when transitioning on-call responsibilities between engineers and ensuring the incoming responder has full situational awareness, when writing a shift summary that captures active incidents,","files":["SKILL.md","references/details.md"]},{"name":"onboard-context-matic","description":"Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can a","files":["SKILL.md"]},{"name":"oncall-irm","description":"Route alerts, run on-call rotations, and drive incidents in Grafana IRM / OnCall — integrations (Alertmanager / Grafana Alerting / generic webhook / PagerDuty), Jinja2 routing + grouping templates, escalation chains (wait → notify schedule → notify team → webhook → auto-resolve), schedules (web + iC","files":["SKILL.md","references/integrations.md","references/templates-schedules.md"]},{"name":"oncehub-automation","description":"Automate Oncehub tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"onedesk-automation","description":"Automate Onedesk tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"onepage-automation","description":"Automate Onepage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"onesignal-rest-api-automation","description":"Automate OneSignal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"onesignal-user-auth-automation","description":"Automate Onesignal User Auth tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ontology-term-resolution","description":"Resolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages. Use whenever ","files":["SKILL.md","references/companion-apis.md","references/curation-rules.md","references/ols4-api.md","references/ontology-registry.md","scripts/id_client.py","scripts/lookup_prefix.py","scripts/map_terms.py","scripts/ols_client.py","scripts/resolve_terms.py","scripts/validate_terms.py","scripts/zooma_client.py"]},{"name":"oo-component-documentation","description":"Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.","files":["SKILL.md","assets/documentation-template.md","references/create-mode.md","references/update-mode.md"]},{"name":"open-code-review","description":"Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can au","files":["SKILL.md"]},{"name":"open-code-review-delegate","description":"Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LL","files":["SKILL.md"]},{"name":"open-gstack-browser","description":"Launch GStack Browser — AI-controlled Chromium with the sidebar extension baked in.","files":["SKILL.md"]},{"name":"open-notebook","description":"Organizes research with the self-hosted Open Notebook alternative to NotebookLM. Supports source ingestion (PDFs, web pages, audio, video, and Office documents), cited document chat, text and vector search, notes, custom transformations, and multi-speaker podcasts. Use when automating Open Notebook ","files":["SKILL.md","references/api_reference.md","references/architecture.md","references/configuration.md","references/examples.md","scripts/_common.py","scripts/chat_interaction.py","scripts/notebook_management.py","scripts/source_ingestion.py"]},{"name":"open-sea-automation","description":"Automate Open Sea tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"open-sourcing","description":"This skill should be used when the user asks to \"open source this project\", \"prepare this repository for public release\", \"make this repo public\", \"check open-source readiness\", \"choose a license for this project\", or \"set up release automation\" ahead of a public launch. Provides a release-readiness","files":["SKILL.md","references/c-cpp.md","references/go.md","references/javascript.md","references/licensing.md","references/python.md","references/ruby.md","references/rust.md","references/trailofbits.md","scripts/check_readiness.sh","scripts/detect_org.sh"]},{"name":"openai-docs","description":"Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/latest-model.md","references/prompting-guide.md","references/upgrade-guide.md","scripts/fetch-codex-manual.mjs","scripts/resolve-latest-model-info.js"]},{"name":"openapi","description":"Generate OpenAPI 3.1 spec from a tRPC router with @trpc/openapi CLI or programmatic API. Generate typed REST client with @hey-api/openapi-ts and configureTRPCHeyApiClient(). Configure transformers (superjson, EJSON) for generated clients. Alpha status.","files":["SKILL.md"]},{"name":"openapi-spec-generation","description":"Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.","files":["SKILL.md","references/code-first-and-tooling.md","references/details.md"]},{"name":"openapi-spec-generator","description":"Generate complete, production-ready OpenAPI 3.x and Swagger 2.0 specifications from natural language descriptions, code, or partial specs. Use this skill whenever the user mentions OpenAPI, Swagger, API spec, REST API documentation, YAML/JSON API schema, endpoint documentation, API contract, swagger","files":["SKILL.md","reference/common-patterns.md","reference/security-schemes.md"]},{"name":"openapi-to-application-code","description":"Generate a complete, production-ready application from an OpenAPI specification","files":["SKILL.md"]},{"name":"opencage-automation","description":"Automate Opencage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"openclaw-deployment-hardening","description":"Secure OpenClaw deployments with preflight hardening checks, CI/CD guardrails, container runtime restrictions, and post-deploy verification. Use when shipping OpenClaw with Docker, Kubernetes, or automated release pipelines.","files":["SKILL.md"]},{"name":"openclaw-persona-forge","description":"为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡， 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill，可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于：微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词：龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster","files":["SKILL.md","gacha.py","gacha.sh","references/avatar-style.md","references/boundary-rules.md","references/error-handling.md","references/identity-tension.md","references/naming-system.md","references/output-template.md"]},{"name":"openfold3-nim","description":"Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA API or local Docker NIM. Covers endpoint choi","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yml","evals/evals.json","evals/trigger_evals.json","references/api.md","references/examples.md","references/parameters.md","references/science.md","references/validation.md","skill-card.md"]},{"name":"opengraph-io-automation","description":"Automate Opengraph IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"openperplex-automation","description":"Automate Openperplex tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"openpiv","description":"Performs Particle Image Velocimetry (PIV) analysis with OpenPIV. Use when extracting velocity fields from PIV image pairs, analyzing fluid dynamics or flow visualization experiments, cross-correlating interrogation windows, validating and replacing spurious PIV vectors, or computing vorticity, strai","files":["SKILL.md","references/advanced_algorithms.md","scripts/__init__.py","scripts/analyze.py","scripts/run_example.py","scripts/runner.py"]},{"name":"openrouter-automation","description":"Automate Openrouter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"openshift","description":"Manage Red Hat OpenShift clusters and deployments. Configure projects, routes, builds, and deploy applications using OpenShift-specific features. Use when working with OpenShift Container Platform or OKD for enterprise Kubernetes.","files":["SKILL.md"]},{"name":"opensource-pipeline","description":"Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'. Use when a private project must be forked, stripped of secrets, and p","files":["SKILL.md"]},{"name":"opentelemetry","description":"Instrument applications and infrastructure with OpenTelemetry for unified traces, metrics, and logs. Use when implementing distributed tracing, service-level troubleshooting, or vendor-neutral observability.","files":["SKILL.md"]},{"name":"opentofu-migration","description":"Migrate from Terraform to OpenTofu with state compatibility, provider registry setup, and CI/CD pipeline updates. Use when adopting the open-source Terraform fork or evaluating license-free IaC.","files":["SKILL.md"]},{"name":"opentrons-integration","description":"Authors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot ins","files":["SKILL.md","references/api_reference.md","references/liquid_handling.md","references/migration-api-2-19-to-2-29.md","references/modules_and_deck.md","references/protocol_authoring.md","references/sources.md","references/validation_and_operations.md","requirements-flex.txt","requirements-ot2.txt","scripts/absorbance_reader_template.py","scripts/basic_protocol_template.py","scripts/ot2_basic_protocol_template.py","scripts/pcr_setup_template.py","scripts/runtime_parameters_template.py","scripts/serial_dilution_template.py"]},{"name":"openweather-api-automation","description":"Automate Openweather API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"operating-livekit-agents","description":"Deploys and operates a LiveKit agent in production: shipping a version to LiveKit Cloud and rolling it back, secrets and configuration, the worker process model and prewarming, safe async inside worker processes, provider timeouts and degradation, graceful shutdown, SDK upgrades, and observability. ","files":["SKILL.md"]},{"name":"operator-approval-loop","description":"Operator approval contract with internal filing notices for agent-drafted outbound messages, hashed drafts, epoch-keyed decisions, durable delivery claims and receipts, and a pre-draft baseline gate. Use when an agent drafts messages to external counterparties and a human operator must approve, reje","files":["SKILL.md","references/approval_claims.py"]},{"name":"optimize-for-gpu","description":"GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, c","files":["SKILL.md","references/code_transformation_patterns.md","references/cucim.md","references/cudf.md","references/cugraph.md","references/cuml.md","references/cupy.md","references/cuspatial.md","references/cuvs.md","references/cuxfilter.md","references/decision_framework.md","references/installation.md","references/kvikio.md","references/numba.md","references/raft.md","references/warp.md"]},{"name":"optimize-simplicite-logs","description":"capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.","files":["SKILL.md","scripts/SimpliciteLog2Json.ps1","scripts/simplicite-log2json.py"]},{"name":"optimizing-attention-flash","description":"Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100","files":["SKILL.md","references/benchmarks.md","references/transformers-integration.md"]},{"name":"optimoroute-automation","description":"Automate Optimoroute tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"orch-add-feature","description":"Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.","files":["SKILL.md"]},{"name":"orch-build-mvp","description":"Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP th","files":["SKILL.md"]},{"name":"orch-change-feature","description":"Orchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.","files":["SKILL.md"]},{"name":"orch-fix-defect","description":"Orchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.","files":["SKILL.md"]},{"name":"orch-pipeline","description":"Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-de","files":["SKILL.md"]},{"name":"orch-refine-code","description":"Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change.","files":["SKILL.md"]},{"name":"orchestrate-batch-refactor","description":"Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.","files":["SKILL.md","agents/openai.yaml","references/agent-prompt-templates.md","references/work-packet-template.md"]},{"name":"organization-best-practices","description":"Configure multi-tenant organizations, manage members and invitations, define custom roles and permissions, set up teams, and implement RBAC using Better Auth's organization plugin. Use when users need org setup, team management, member roles, access control, or the Better Auth organization plugin.","files":["SKILL.md"]},{"name":"osint","description":"Open-source intelligence gathering - company repository enumeration, secret scanning, git history analysis, employee footprint, and code exposure discovery.","files":["SKILL.md","reference/repository-recon.md"]},{"name":"osint-investigation","description":"Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, image/video geolocation, event reconstruction, public-account and entity verification, artifact interpretation, inf","files":["SKILL.md","LICENSE.txt"]},{"name":"ossfuzz","description":"Enrolls a project in OSS-Fuzz, Google's free continuous fuzzing service for open source, and drives it locally. Covers project.yaml, Dockerfile and build.sh setup, the helper scripts, reproducing OSS-Fuzz crash reports, and the acceptance criteria. Use when setting up continuous fuzzing for an open-","files":["SKILL.md","agents/openai.yaml"]},{"name":"outlines","description":"Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library","files":["SKILL.md","references/backends.md","references/examples.md","references/json_generation.md"]},{"name":"owl-protocol-automation","description":"Automate Owl Protocol tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"package-usage","description":"Track which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinate","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pacsomatic","description":"Prepares and launches nf-core/pacsomatic matched tumor-normal PacBio HiFi genomics workflows from unaligned BAM inputs. Supports samplesheet generation, pinned Nextflow launch artifacts, local checks, LSF/Slurm/PBS Pro/SGE launcher submission, and startup troubleshooting. Use for pacsomatic run prep","files":["SKILL.md","config.yaml","references/agent-playbook.md","references/config-and-output.md","references/pacsomatic_guide.md","scripts/run_pacsomatic.py"]},{"name":"page-x-automation","description":"Automate Page X tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"paidf-cosmos-predict","description":"Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples.","files":["SKILL.md","BENCHMARK.md","assets/default_generation_settings.json","assets/paidf_config_template.yaml","config/skillspector-baseline.yaml","evals/evals.json","scripts/paidf_common.py","scripts/prepare_paidf_config.py","scripts/test_paidf_cosmos_predict.py","scripts/verify_vlm_captioning_base_url.py","scripts/write_paidf_handoff.py","skill-card.md"]},{"name":"paidf-orchestration-write-dag","description":"Use when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, an","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/component-skills-excerpt.md","skill-card.md"]},{"name":"pair-agent","description":"Pair a remote AI agent with your browser. (gstack)","files":["SKILL.md"]},{"name":"pandas-pro","description":"Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling","files":["SKILL.md","references/aggregation-groupby.md","references/data-cleaning.md","references/dataframe-operations.md","references/merging-joining.md","references/performance-optimization.md"]},{"name":"panel-review","description":"Reviews a code target by launching a panel of specialist auditor agents and merging their reports. Use when asked to run a panel review.","files":["SKILL.md"]},{"name":"paper-lookup","description":"Searches 18 scholarly APIs for papers, preprints, citations, open-access full text, repository records, and journal OA status, and returns results with reproducible provenance. Covers PubMed, PMC, Europe PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall, OpenCitatio","files":["SKILL.md","references/arxiv.md","references/biorxiv.md","references/biostudies.md","references/core.md","references/crossref.md","references/doaj.md","references/europepmc.md","references/figshare.md","references/medrxiv.md","references/openalex.md","references/opencitations.md","references/pmc.md","references/pubmed.md","references/pubtator.md","references/ror.md","references/semantic-scholar.md","references/unpaywall.md","references/zenodo.md","scripts/_common.py","scripts/arxiv_atom.py","scripts/jats_to_text.py","scripts/openalex_abstract.py","scripts/paginate.py"]},{"name":"paperzilla","description":"Reads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs.","files":["SKILL.md","references/cli-contracts.md"]},{"name":"paradym-automation","description":"Automate Paradym tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"parallel-automation","description":"Automate Parallel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"parallel-debugging","description":"Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.","files":["SKILL.md","references/hypothesis-testing.md"]},{"name":"parallel-execution-optimizer","description":"Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agent","files":["SKILL.md"]},{"name":"parallel-feature-development","description":"Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the ","files":["SKILL.md","references/file-ownership.md","references/merge-strategies.md"]},{"name":"parallel-web","description":"Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking","files":["SKILL.md","references/api-contracts.md","references/data-enrichment.md","references/deep-research.md","references/findall.md","references/monitor.md","references/web-extract.md","references/web-search.md"]},{"name":"parma-automation","description":"Automate Parma tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"parsehub-automation","description":"Automate Parsehub tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"parsera-automation","description":"Automate Parsera tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"parseur-automation","description":"Automate Parseur tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"passcreator-automation","description":"Automate Passcreator tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"passslot-automation","description":"Automate Passslot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pathogen-variant-surveillance","description":"Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment proven","files":["SKILL.md","references/lapis-api.md","references/lineage-nomenclature.md","references/surveillance-caveats.md","scripts/lapis_client.py","scripts/lineage_prevalence.py","scripts/mutation_profile.py","scripts/reporting_lag.py","scripts/resolve_lineage.py"]},{"name":"pathway-enrichment","description":"Performs pathway and gene-set enrichment analysis on gene lists or ranked gene data and interprets the results. Used when the user has a set of genes (differentially expressed genes from PyDESeq2/Scanpy, CRISPR-screen hits, cluster marker genes, proteomics hits) and wants to know which biological pa","files":["SKILL.md","references/databases-and-gene-sets.md","references/gseapy.md","references/interpretation.md","references/verified-api.md","scripts/run_enrichment.py"]},{"name":"patt-fetcher","description":"Fetches and extracts payloads from PayloadsAllTheThings on demand. Bake into executor prompts for live payload enrichment.","files":["SKILL.md"]},{"name":"payhip-automation","description":"Automate Payhip tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"payment-gateway-integration","description":"Integrates payment processing with Stripe, PayPal, or Square including subscriptions, webhooks, and PCI compliance. Use when implementing checkout flows, recurring billing, or handling refunds and disputes.","files":["SKILL.md","references/paypal-integration.md"]},{"name":"paypal-integration","description":"Integrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.","files":["SKILL.md","references/details.md"]},{"name":"pci-compliance","description":"Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.","files":["SKILL.md","references/details.md"]},{"name":"pci-dss-compliance","description":"Implement PCI DSS requirements for payment card data. Configure cardholder data environment and security controls. Use when processing payment cards.","files":["SKILL.md"]},{"name":"pdf","description":"Processes PDF files by extracting text and tables, merging, splitting, rotating, watermarking, creating documents, filling forms, encrypting or decrypting, extracting images, and running OCR. Used when a task involves reading, editing, creating, or validating a .pdf file.","files":["SKILL.md","LICENSE.txt","forms.md","reference.md","scripts/check_bounding_boxes.py","scripts/check_fillable_fields.py","scripts/convert_pdf_to_images.py","scripts/create_validation_image.py","scripts/extract_form_field_info.py","scripts/extract_form_structure.py","scripts/fill_fillable_fields.py","scripts/fill_pdf_form_with_annotations.py"]},{"name":"pdf-api-io-automation","description":"Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pdf-co-automation","description":"Automate PDF co tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pdf4me-automation","description":"Automate Pdf4me tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pdfless-automation","description":"Automate Pdfless tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pdfmonkey-automation","description":"Automate Pdfmonkey tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"peer-review","description":"Prepares evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, fig","files":["SKILL.md","assets/reporting_guidelines.json","assets/review_intake_template.json","assets/review_scaffold_template.md","assets/statistical_reproducibility_template.json","assets/study_profile_template.json","references/common_issues.md","references/ethical_review_practice.md","references/reporting_standards.md","references/security_validation.md","references/statistical_reproducibility.md","references/tool_reference.md","scripts/_common.py","scripts/audit_citations.py","scripts/audit_statistics_reproducibility.py","scripts/generate_review_scaffold.py","scripts/lint_review.py","scripts/select_reporting_guidelines.py","scripts/validate_claim_evidence.py","scripts/validate_review_intake.py"]},{"name":"peft-fine-tuning","description":"Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transform","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"penetration-testing","description":"Perform basic penetration testing and security assessments. Use reconnaissance, vulnerability discovery, and exploitation techniques. Use when validating security controls or assessing system security.","files":["SKILL.md"]},{"name":"pennant-development","description":"Use when working with Laravel Pennant the official Laravel feature flag package. Trigger whenever the query mentions Pennant by name or involves feature flags or feature toggles in a Laravel project. Tasks include defining feature flags checking whether features are active creating class based featu","files":["SKILL.md"]},{"name":"pennylane","description":"Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiski","files":["SKILL.md","references/advanced_features.md","references/devices_backends.md","references/getting_started.md","references/optimization.md","references/quantum_chemistry.md","references/quantum_circuits.md","references/quantum_ml.md"]},{"name":"penpot-uiux-design","description":"Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, ","files":["SKILL.md","references/accessibility.md","references/component-patterns.md","references/platform-guidelines.md","references/setup-troubleshooting.md"]},{"name":"pentest-engagement","description":"Run a professional penetration engagement OR a network vulnerability scan from a scope. WEB mode (apex domains / app URLs) — mandatory surface expansion, systematic OWASP attack-class coverage, reversible active exploitation, authoritative validation, Transilience PDF. NETWORK mode (a list of IPs/CI","files":["SKILL.md","reference/scope-file-format.md"]},{"name":"peopledatalabs-automation","description":"Automate Peopledatalabs tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"performance-optimization","description":"Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.","files":["SKILL.md","references/optimization-patterns.md"]},{"name":"performance-review-writer","description":"Draft performance reviews, self-assessments, peer reviews, and upward feedback in your own voice. Analyzes your contributions, emails, and meeting history via WorkIQ, then produces honest, impact-focused drafts using the STAR format. USE FOR: write my performance review, draft self-assessment, peer ","files":["SKILL.md"]},{"name":"perigon-automation","description":"Automate Perigon tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"perl-patterns","description":"Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications. Use when writing or reviewing modern Perl 5.36+ code.","files":["SKILL.md"]},{"name":"perl-testing","description":"Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology. Use when writing Perl tests with Test2::V0 or Test::More, or measuring coverage.","files":["SKILL.md"]},{"name":"perplexityai-automation","description":"Automate Perplexityai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"persistiq-automation","description":"Automate Persistiq tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pester-migration","description":"Pester migration skill for upgrading PowerShell Pester test suites across major versions — v3→v4, v4→v5, and v5→v6. Covers the Discovery/Run two-phase model, moving setup into BeforeAll, $PSScriptRoot vs $MyInvocation, mock changes (Assert-MockCalled → Should -Invoke, removed fall-through), Invoke-P","files":["SKILL.md","references/v3-to-v4.md","references/v4-to-v5.md","references/v5-to-v6.md"]},{"name":"pester-should-migration","description":"Experimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -Not -Be` -> `Should-NotBe`. Tracks Pester 6, which is still a release candidate, so this guidance may","files":["SKILL.md","references/assertion-map.md"]},{"name":"pexels-automation","description":"Automate Pexels tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"phoenix-cli","description":"Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent f","files":["SKILL.md","references/axial-coding.md","references/open-coding.md"]},{"name":"phoenix-observability","description":"Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"php-best-practices","description":"Write PHP following PSR coding standards, SOLID principles, and code-quality guidelines. Use for PHP style, design, refactoring, naming, and guard clauses—not Composer/PSR-4 project configuration.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-concurrency","description":"Implement concurrency and non-blocking I/O in modern PHP. Use when implementing concurrent requests, async processing, or non-blocking I/O in PHP.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-error-handling","description":"Implement modern PHP error and exception handling patterns. Use when implementing exception hierarchies, error handlers, or custom exceptions in PHP.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-language","description":"Apply core PHP language standards and modern 8.x features. Use when working with PHP 8.x features like enums, fibers, readonly properties, or named arguments.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-mcp-server-generator","description":"Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK","files":["SKILL.md"]},{"name":"php-pro","description":"Use when building PHP applications with modern PHP 8.3+ features, Laravel, or Symfony frameworks. Invokes strict typing, PHPStan level 9, async patterns with Swoole, and PSR standards. Creates controllers, configures middleware, generates migrations, writes PHPUnit/Pest tests, defines typed DTOs and","files":["SKILL.md","references/async-patterns.md","references/laravel-patterns.md","references/modern-php-features.md","references/symfony-patterns.md","references/testing-quality.md"]},{"name":"php-security","description":"PHP-only security standards for database access, password handling, and input validation. Use when securing PHP apps against SQL injection, XSS, or weak password storage; defer Laravel middleware and security questions in other languages.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-testing","description":"Write unit and integration tests for PHP applications with PHPUnit and Pest. Use when writing PHPUnit unit tests or integration tests for PHP applications.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"php-tooling","description":"Configure PHP ecosystem tooling, dependency management, and static analysis. Use when managing Composer dependencies, running PHPStan, or configuring PHP build tools.","files":["SKILL.md","evals/evals.json"]},{"name":"phpunit-skill","description":"Generates PHPUnit tests in PHP. Covers assertions, data providers, mocking, and test doubles. Use when user mentions \"PHPUnit\", \"TestCase\", \"assertEquals\", \"PHP test\". Triggers on: \"PHPUnit\", \"TestCase PHP\", \"assertEquals PHP\", \"PHP unit test\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"phylogenetics","description":"Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene tr","files":["SKILL.md","references/iqtree_inference.md","scripts/phylogenetic_analysis.py"]},{"name":"physicsnemo-discover","description":"Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/RECIPES.md","references/TAXONOMY.md","skill-card.md"]},{"name":"physicsnemo-shard-tensor","description":"Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working ","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/integration-checklist.md","references/new-op-patterns.md","references/testing.md","skill-card.md"]},{"name":"piggy-automation","description":"Automate Piggy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"piloterr-automation","description":"Automate Piloterr tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pilvio-automation","description":"Automate Pilvio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pinecone","description":"Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastruc","files":["SKILL.md","references/deployment.md"]},{"name":"pinecone-rag","description":"Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement ","files":["SKILL.md"]},{"name":"pingdom-automation","description":"Automate Pingdom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pinia","description":"Pinia official Vue state management library, type-safe and extensible. Use when defining stores, working with state/getters/actions, or implementing store patterns in Vue apps.","files":["SKILL.md","GENERATION.md","references/advanced-hmr.md","references/advanced-nuxt.md","references/advanced-ssr.md","references/best-practices-outside-component.md","references/best-practices-testing.md","references/core-stores.md","references/features-composables.md","references/features-composing-stores.md","references/features-plugins.md"]},{"name":"pinia-colada","description":"Pinia Colada data fetching for Vue/Nuxt with useQuery, useMutation. Use for async state, query cache, SSR, or encountering invalidation, hydration, TanStack Vue Query migration errors.","files":["SKILL.md","references/common-patterns.md","references/configuration.md","references/error-catalog.md","references/migration-from-tanstack-vue-query.md","references/setup-guide.md"]},{"name":"pinia-v3","description":"Pinia v3 Vue state management with defineStore, getters, actions. Use for Vue 3 stores, Nuxt SSR, Vuex migration, or encountering store composition, hydration, testing errors.","files":["SKILL.md","assets/example-template.txt","references/example-reference.md","references/plugins-composables.md","references/ssr-and-nuxt.md","references/state-getters-actions.md","references/store-syntax-guide.md","references/testing-guide.md","references/vuex-migration-checklist.md","references/vuex-migration.md","scripts/api-store-example.ts","scripts/auth-store-example.ts","scripts/example-script.sh","scripts/option-store-template.ts","scripts/persistence-plugin.ts","scripts/setup-store-template.ts"]},{"name":"pipeline-crm-automation","description":"Automate Pipeline CRM tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pkpd-modeling","description":"Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug moni","files":["SKILL.md","assets/nca-reporting-checklist.md","assets/popk-analysis-plan.md","references/antimicrobial-and-tdm.md","references/bioequivalence.md","references/dataset-standards.md","references/ddi-and-qt.md","references/nca-conventions.md","references/pbpk.md","references/pd-and-exposure-response.md","references/population-pk.md","references/regulatory-guidance.md","references/software-ecosystem.md","references/source-ledger.md","references/special-populations.md","references/structural-models.md","references/tmdd-and-biologics.md","scripts/_common.py","scripts/_models.py","scripts/allometry_and_fih.py","scripts/bioequivalence.py","scripts/check_popk_dataset.py","scripts/ddi_static.py","scripts/exposure_response.py","scripts/fit_compartmental.py","scripts/nca.py","scripts/simulate_regimen.py","scripts/tdm_bayes.py"]},{"name":"placekey-automation","description":"Automate Placekey tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"placid-automation","description":"Automate Placid tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"plain-automation","description":"Automate Plain tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"plan-canvas","description":"Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like \"move this, change that\" is easier pointed at than typed.","files":["SKILL.md"]},{"name":"plan-design-review","description":"Designer's eye plan review — interactive, like CEO and Eng review. (gstack)","files":["SKILL.md","sections/checklist.md","sections/manifest.json","sections/review-sections.md"]},{"name":"plan-interview","description":"Adaptive interview-driven spec generation. Use when converting rough plans into comprehensive specifications, needing structured requirements gathering, or transforming ideas into implementation-ready documentation.","files":["SKILL.md","references/example-spec.md","references/interview-techniques.md","references/phase-1-clarifications.md","references/phase-2-technical.md","references/phase-3-ux.md","references/phase-4-risks.md"]},{"name":"plan-orchestrate","description":"Read a plan document, decompose it into steps, classify each step, and emit the ready-to-paste ECC slash command for that step, carrying the step identifier and scope in the command's own documented argument form. Generative only — never invokes commands itself and never claims to control what a com","files":["SKILL.md"]},{"name":"planetscale-autonomous-execution-mode","description":"Execute approved PlanetScale changes end-to-end without per-step approval when the operator has explicitly acknowledged the risk. Defines the risk-acknowledgment contract, scoped autonomy levels, sensible execution ordering, continuous status reporting, halt conditions, and rollback discipline. Extr","files":["SKILL.md"]},{"name":"planetscale-best-practices-matrix","description":"A concise feature matrix for deciding which PlanetScale safety, observability, and automation recommendations apply by engine.","files":["SKILL.md"]},{"name":"planetscale-change-gates-and-approval-contract","description":"Enforce explicit approval gates for any PlanetScale, database, repository, credential, network, or automation mutation.","files":["SKILL.md"]},{"name":"planetscale-codebase-sqlcommenter-instrumentation","description":"Inspect an application repository connected to PlanetScale and recommend SQLCommenter-compatible query tagging packages and conventions.","files":["SKILL.md"]},{"name":"planetscale-customer-report-template","description":"Produce the final PlanetScale best-practices report after running the inventory and relevant review skills.","files":["SKILL.md"]},{"name":"planetscale-mcp-agent-operating-model","description":"Configure safe agent behavior around PlanetScale MCP, Insights, schema recommendations, and repository work without autonomous production mutation.","files":["SKILL.md"]},{"name":"planetscale-postgres-safety-review","description":"Review PlanetScale Postgres for Traffic Control, query tags, roles, pg_strict, backups/PITR, private connectivity, webhooks, branches, and safe agent operation.","files":["SKILL.md"]},{"name":"planetscale-pscale-cli-automation","description":"Use the PlanetScale CLI (pscale) from automated agents with --format json, auth check, pscale sql, and per-command --force. Run before other PlanetScale skills when driving pscale directly. Use when the user asks to automate pscale, run CLI commands headless, or verify pscale auth from an agent.","files":["SKILL.md"]},{"name":"planetscale-query-insights-and-tags","description":"Use PlanetScale Insights and SQLCommenter-style query tags to attribute database load, identify risky queries, and prepare safe Traffic Control or schema recommendations.","files":["SKILL.md"]},{"name":"planetscale-readonly-inventory","description":"Collect read-only evidence about PlanetScale org, database, branches, webhooks, backups, roles, Insights, recommendations, and traffic configuration.","files":["SKILL.md"]},{"name":"planetscale-safe-orchestrator","description":"Master skill that runs the full PlanetScale safe best-practices assessment — inventory, engine review, Insights, Traffic Control, webhooks, schema recommendations, codebase instrumentation, and agent operating model — then produces a unified recommendations report. Never applies changes without expl","files":["SKILL.md","agents/openai.yaml"]},{"name":"planetscale-schema-recommendations-agent-loop","description":"Safely triage PlanetScale schema recommendations and turn them into reviewed branches, migrations, issues, or pull requests without applying production changes.","files":["SKILL.md"]},{"name":"planetscale-traffic-control-recommendations","description":"Build a safe recommendation plan for PlanetScale Postgres Database Traffic Control budgets and rules without applying them.","files":["SKILL.md"]},{"name":"planetscale-vitess-safety-review","description":"Review a PlanetScale Vitess database for safe migrations, deploy requests, schema recommendations, Insights, webhooks, and operational safety.","files":["SKILL.md"]},{"name":"planetscale-webhook-automation-recommendations","description":"Recommend webhook subscriptions and safe automation patterns for PlanetScale alerts, anomalies, schema recommendations, deploy requests, and agent workflows.","files":["SKILL.md"]},{"name":"plankton-code-quality","description":"Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. Use when setting up write-time formatting, linting, or auto-fix hooks on file edits.","files":["SKILL.md"]},{"name":"planning","description":"Discovers user intent and generates a structured, step-by-step plan for model customization workflows. This skill must always be activated alongside any other skill when the user's request relates to model customization — including fine-tuning, training, building, customizing, reviewing data, or get","files":["SKILL.md","references/evaluate-first-plan.md","references/input-output-contracts.md","references/model-customization-plan.md","references/skill-routing-constraints.md"]},{"name":"planning-and-task-breakdown","description":"Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.","files":["SKILL.md"]},{"name":"planning-oracle-to-postgres-migration-integration-testing","description":"Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration tes","files":["SKILL.md"]},{"name":"plasmic-automation","description":"Automate Plasmic tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"platerecognizer-automation","description":"Automate Platerecognizer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"play-billing-library-version-upgrade","description":"Use this skill when upgrading or migrating an Android project from any","files":["SKILL.md","references/android/google/play/billing/release-notes.md","references/migration-logic.md","references/version-checklist.md"]},{"name":"play-policy-insights","description":"Automated auditor designed to verify Android applications against Google Play Policy domains. It cross-references static code analysis with Play Store declarations to generate deterministic compliance reports, identifying undeclared data collection, architectural risks, and missing disclosures acros","files":["SKILL.md","resources/common_mandates.md","resources/compliance_report_template.md","resources/critic.md","resources/goal_data_safety.md","resources/goal_permissions_and_apis.md","resources/goal_user_account.md","resources/policies.json","resources/scanner_config.json","scripts/generate_report.py","scripts/orchestrator.py","scripts/play_store_scraper.py","scripts/scanner.py","scripts/template_engine.py"]},{"name":"playground","description":"Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.","files":["SKILL.md","templates/code-map.md","templates/concept-map.md","templates/data-explorer.md","templates/design-playground.md","templates/diff-review.md","templates/document-critique.md"]},{"name":"playwright","description":"Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script.","files":["SKILL.md","LICENSE.txt","NOTICE.txt","agents/openai.yaml","references/cli.md","references/workflows.md","scripts/playwright_cli.sh"]},{"name":"playwright-automation-fill-in-form","description":"Automate filling in a form using Playwright MCP","files":["SKILL.md"]},{"name":"playwright-cli","description":"Automate browser interactions, test web pages and work with Playwright tests.","files":["SKILL.md","references/element-attributes.md","references/playwright-tests.md","references/pr-attachments.md","references/request-mocking.md","references/running-code.md","references/session-management.md","references/storage-state.md","references/test-generation.md","references/tracing.md","references/video-recording.md"]},{"name":"playwright-expert","description":"Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke to write test scripts, create page objects, configure test fixtures, set up reporters, add CI integration, implement API mocking, or perform visual regression testing. Trigger terms: ","files":["SKILL.md","references/api-mocking.md","references/configuration.md","references/debugging-flaky.md","references/page-object-model.md","references/selectors-locators.md"]},{"name":"playwright-explore-website","description":"Website exploration for testing using Playwright MCP","files":["SKILL.md"]},{"name":"playwright-generate-test","description":"Generate a Playwright test based on a scenario using Playwright MCP","files":["SKILL.md"]},{"name":"playwright-interactive","description":"Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.","files":["SKILL.md","LICENSE.txt","NOTICE.txt","agents/openai.yaml"]},{"name":"playwright-skill","description":"Generates production-grade Playwright automation scripts and E2E tests in TypeScript, JavaScript, Python, Java, or C#. Supports local execution and TestMu AI cloud across 3000+ browser/OS combinations and real mobile devices. Use when the user asks to write Playwright tests, automate browsers, run c","files":["SKILL.md","reference/api-mocking-visual.md","reference/cloud-integration.md","reference/csharp-patterns.md","reference/debugging-flaky.md","reference/java-patterns.md","reference/mobile-testing.md","reference/page-object-model.md","reference/playbook.md","reference/python-patterns.md","scripts/scaffold-project.sh","scripts/validate-config.py","templates/lambdatest-setup.ts","templates/playwright.config.ts"]},{"name":"plisio-automation","description":"Automate Plisio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"plugin-bundle-size","description":"# Grafana plugin bundle size optimisation","files":["SKILL.md","references/datasource-plugins.md","references/troubleshooting.md"]},{"name":"podcast-generation","description":"Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack ","files":["SKILL.md","references/architecture.md","references/code-examples.md","scripts/pcm_to_wav.py"]},{"name":"poka-yoke","description":"Mistake-proof code so misuse cannot be expressed, rather than warning against it. Use when designing an interface, schema, or state machine and the user wants it hard to get wrong (\"make invalid states unrepresentable\", \"so callers cannot screw it up\", \"type-safe API\", \"pit of success\"); when auditi","files":["SKILL.md","references/hazard-catalog.md","references/lang-python.md","references/lang-rust-go.md","references/lang-typescript.md","scripts/detect_hazards.py"]},{"name":"polars","description":"High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.","files":["SKILL.md","references/best_practices.md","references/core_concepts.md","references/io_guide.md","references/operations.md","references/pandas_migration.md","references/review.md","references/transformations.md"]},{"name":"polars-bio","description":"Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration f","files":["SKILL.md","references/bioframe_migration.md","references/configuration.md","references/file_io.md","references/interval_operations.md","references/pileup_operations.md","references/sql_processing.md"]},{"name":"polygon-automation","description":"Automate Polygon tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"polygon-io-automation","description":"Automate Polygon IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ponytail","description":"Lazy senior dev mode: the smallest change that fully solves the task, and a reply a busy human understands in one read. Use on any coding task (writing, fixing, refactoring, reviewing, choosing dependencies) and when the user says \"ponytail\", \"be lazy\", \"simplest solution\", \"yagni\", or complains abo","files":["SKILL.md"]},{"name":"ponytail-audit","description":"Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for \"audit this codebase\", \"review the whole repo\", \"find","files":["SKILL.md"]},{"name":"ponytail-debt","description":"List every `shortcut:` comment (and older `ponytail:` ones) as a debt ledger. One-shot report, changes nothing. Use for \"ponytail debt\", \"what did ponytail defer\", \"list the shortcuts\", /ponytail-debt.","files":["SKILL.md"]},{"name":"ponytail-gain","description":"Show ponytail's measured savings (code, cost, speed) from the benchmark. One-shot display. Use for /ponytail-gain, \"what does ponytail save\", \"ponytail impact\".","files":["SKILL.md"]},{"name":"ponytail-help","description":"Quick reference for ponytail levels, skills and commands. One-shot display. Use for /ponytail-help, \"ponytail help\", \"how do I use ponytail\".","files":["SKILL.md"]},{"name":"ponytail-review","description":"Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for \"review this\", \"code review\", \"review the last","files":["SKILL.md"]},{"name":"poptin-automation","description":"Automate Poptin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"portable-text-conversion","description":"Convert HTML and Markdown content into Portable Text blocks for Sanity. Use when migrating content from legacy CMSs, importing HTML or Markdown into Sanity, building content pipelines that ingest external content, converting rich text between formats, or programmatically creating Portable Text docum","files":["SKILL.md","rules/html-to-pt.md","rules/manual-construction.md","rules/markdown-to-pt.md"]},{"name":"portable-text-serialization","description":"Render and serialize Portable Text to React, Svelte, Vue, Astro, HTML, Markdown, and plain text. Use when implementing Portable Text rendering in any frontend framework, building custom serializers for non-standard block types, converting Portable Text to HTML strings server-side, converting Portabl","files":["SKILL.md","rules/astro.md","rules/html.md","rules/markdown.md","rules/plain-text.md","rules/react.md","rules/svelte.md","rules/vue.md"]},{"name":"portfolio-optimization","description":"Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario generation, or NVIDIA cuOpt.","files":["SKILL.md","BENCHMARK.md","evals/EVAL.md","evals/evals-full.json","evals/evals.json","references/workflows/agent_recipes.md","skill-card.md"]},{"name":"post-patch-validation","description":"Validates security patches with reproducible baseline-versus-patched evidence, including original exploits, root-cause variants, behavior preservation, regressions, and newly introduced security failures. Use after a patch exists and before accepting, merging, or reporting it as fixed; also use when","files":["SKILL.md","agents/openai.yaml","references/evidence-model.md","scripts/post_patch_validation.py","scripts/pyproject.toml"]},{"name":"postgres-patterns","description":"PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.","files":["SKILL.md"]},{"name":"postgres-pro","description":"Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.","files":["SKILL.md","references/extensions.md","references/jsonb.md","references/maintenance.md","references/performance.md","references/replication.md"]},{"name":"postgresql-code-review","description":"PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).","files":["SKILL.md"]},{"name":"postgresql-optimization","description":"PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.","files":["SKILL.md"]},{"name":"postgresql-table-design","description":"Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features","files":["SKILL.md","references/details.md"]},{"name":"postgrid-automation","description":"Automate Postgrid tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"postgrid-verify-automation","description":"Automate Postgrid Verify tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"postman-collection-generator","description":"Generate complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands. Use this skill whenever the user describes an API in plain English (\"I have a REST API with these endpoints...\"), pastes cURL commands, or asks to \"create a Postman collection\"","files":["SKILL.md"]},{"name":"postman-newman-automation","description":"Generate Newman CLI commands, configuration files, Jenkins pipeline scripts, and shell automation for running Postman collections in CI/CD or local environments. Use this skill whenever the user wants to run Postman collections from the command line, automate API tests, integrate Postman with Jenkin","files":["SKILL.md"]},{"name":"postman-openapi-converter","description":"Convert OpenAPI 3.x or Swagger 2.0 specs (YAML or JSON) into complete, import-ready Postman Collection v2.1 JSON files. Use this skill whenever the user provides or references an OpenAPI spec, Swagger file, openapi.yaml, swagger.json, or uses phrases like \"convert my OpenAPI spec\", \"import swagger t","files":["SKILL.md"]},{"name":"postman-test-script-generator","description":"Write Postman test scripts (JavaScript) for pre-request logic and post-response assertions, and embed them directly into a Postman collection. Use this skill whenever the user wants to add tests to Postman requests, asks about \"pm.test\", \"pm.expect\", \"Postman assertions\", \"test scripts\", \"chaining r","files":["SKILL.md"]},{"name":"postmortem-writing","description":"Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.","files":["SKILL.md","references/details.md"]},{"name":"power-apps-code-app-scaffold","description":"Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration","files":["SKILL.md"]},{"name":"power-bi-dax-optimization","description":"Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.","files":["SKILL.md"]},{"name":"power-bi-model-design-review","description":"Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.","files":["SKILL.md"]},{"name":"power-bi-performance-troubleshooting","description":"Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.","files":["SKILL.md"]},{"name":"power-bi-report-design-consultation","description":"Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.","files":["SKILL.md"]},{"name":"power-platform-architect","description":"Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.","files":["SKILL.md"]},{"name":"power-platform-mcp-connector-suite","description":"Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation","files":["SKILL.md"]},{"name":"powerbi-modeling","description":"Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relation","files":["SKILL.md","references/MEASURES-DAX.md","references/PERFORMANCE.md","references/RELATIONSHIPS.md","references/RLS.md","references/STAR-SCHEMA.md"]},{"name":"pptx","description":"Creates, reads, edits, and validates PowerPoint presentations and templates (.pptx and .potx). Uses PptxGenJS for new decks and package-aware XML editing for existing slides, layouts, notes, charts, and media. Applies when creating a slide deck, adapting a presentation template, extracting slide con","files":["SKILL.md","LICENSE.txt","scripts/__init__.py","scripts/add_slide.py","scripts/clean.py","scripts/office/helpers/__init__.py","scripts/office/helpers/pptx_chart.py","scripts/office/helpers/pptx_slide.py","scripts/office/helpers/pptx_theme.py","scripts/office/soffice.py","scripts/office/validate.py","scripts/office/validators/__init__.py","scripts/office/validators/base.py","scripts/office/validators/docx.py","scripts/office/validators/pptx.py","scripts/office/validators/redlining.py","scripts/thumbnail.py"]},{"name":"pptx-deck-context","description":"Use when preparing the narrative, sources, and design context for a new editable PPTX deck.","files":["SKILL.md","references/design-profiles.md"]},{"name":"pptx-posters","description":"Creates and audits editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Used when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are requir","files":["SKILL.md","assets/generation_dependencies.json","assets/poster_manifest_template.json","assets/poster_quality_checklist.md","references/manifest_spec.md","references/poster_content_guide.md","references/poster_design_principles.md","references/poster_layout_design.md","references/pptx_security.md","references/security_validation.md","references/source_ledger.md","scripts/_common.py","scripts/_manifest.py","scripts/_pptx.py","scripts/check_layout.py","scripts/check_palette.py","scripts/generate_poster.py","scripts/inspect_pptx.py","scripts/inventory_images.py","scripts/plan_export.py","scripts/validate_manifest.py"]},{"name":"pptx-quality-gates","description":"Use when validating or repairing an editable PPTX deck for geometry, accessibility, native editability, source lineage, and OOXML package integrity.","files":["SKILL.md","references/audit-checklist.md"]},{"name":"pptx-reference-deck-analysis","description":"Use when analyzing a reference PPTX for read-only structure, theme, typography, layout rhythm, diagnostics, derived template catalogs, or safe OOXML package inspection.","files":["SKILL.md","references/ooxml-parsing.md","references/reference-deck-analysis-patterns.md","references/reference-deck-analysis.md","requirements.txt","scripts/inspect.py","scripts/unpack.py","scripts/validate_package.py"]},{"name":"pptx-slide-specification","description":"Use when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.","files":["SKILL.md","references/layout-contract.md"]},{"name":"pptx-visual-assets","description":"Use when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.","files":["SKILL.md","references/asset-guidance.md"]},{"name":"pr","description":"Use when writing a PR body.","files":["SKILL.md","CREDITS.md","agents/openai.yaml"]},{"name":"pr-dashboard","description":"Open a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include \"show my PRs\", \"open PR dashboard\", \"pull request dashboard\".","files":["SKILL.md","scripts/lib/utils.mjs","scripts/pr-dashboard-cli.mjs"]},{"name":"pr-improver","description":"Runs an autonomous review-and-fix improvement loop over the current branch's changes until a PR review comes back clean, scoped mechanically to the directories the branch touched. Reviews are performed by an installed PR-review skill (default: pr-review-toolkit's review-pr). Use to fix review findin","files":["SKILL.md"]},{"name":"pr-labeling","description":"Classify a skills CLI pull request from its description and patch, while respecting existing labels.","files":["SKILL.md"]},{"name":"pr-link-issue","description":"Append a GitHub issue link and its Linear ticket to the current PR's description. Use when asked to \"link issue to pr\", \"fill in issue and linear in pr\", \"add issue refs to pr\", or when given a GitHub issue URL and asked to attach it to the current PR. Resolves the Linear ticket automatically from t","files":["SKILL.md"]},{"name":"pr-screenshots","description":"Embed before/after screenshots and annotated images in pull request descriptions. Covers PR description patterns, image upload for Azure DevOps and GitHub, and sizing best practices.","files":["SKILL.md"]},{"name":"pr-writer","description":"Create or refresh reviewer-facing PR titles and descriptions. Use when opening a PR, updating its title or body, or preparing branch changes for review.","files":["SKILL.md","EVAL.md","SPEC.md","evals/axis.config.json","evals/scenarios/concise-docs-pr.json"]},{"name":"prd","description":"Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","files":["SKILL.md"]},{"name":"precoro-automation","description":"Automate Precoro tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"prediction-market-oracle-research","description":"Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets a","files":["SKILL.md"]},{"name":"prediction-market-risk-review","description":"Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.","files":["SKILL.md"]},{"name":"preference-optimization","description":"Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.","files":["SKILL.md","references/method-configs.md"]},{"name":"premium-frontend-ui","description":"A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.","files":["SKILL.md"]},{"name":"prepare","description":"prepare skill","files":["SKILL.md","references/deploy-strategy.md","references/mcp-tools.md","references/naming-patterns.md","references/prepare-schemas.ts","references/pricing-guide-services.md","references/pricing-guide.md","references/service-mapping.md","references/sku-matrix.md","references/sku-quota-validation.md","references/subagent-pricing.md","references/subagent-quota.md","references/validation-rubric.md"]},{"name":"prerender-automation","description":"Automate Prerender tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"presentation-creator","description":"Create data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to \"create a presentation\", \"build slides\", \"make a deck\", \"create a data presentation\", \"build a Sentry presentation\". Scaffolds a complete slide-based app with charts, animations, and single","files":["SKILL.md","references/chart-patterns.md","references/design-system.md"]},{"name":"presenting-conference-talks","description":"Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.","files":["SKILL.md","references/slide-templates.md"]},{"name":"preset","description":"Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region ca","files":["SKILL.md","EXAMPLES.md","references/preset-workflow.md","references/workflow.md"]},{"name":"primekg","description":"Queries a pinned Precision Medicine Knowledge Graph (PrimeKG) CSV for typed gene, drug, disease, and phenotype nodes, direct associations, disease context, and one- or two-hop paths. Use for PrimeKG reproducibility, biological association lookup, and hypothesis generation with relation and data prov","files":["SKILL.md","references/data-contract.md","scripts/query_primekg.py"]},{"name":"primer-design","description":"Designs and audits PCR and RT-qPCR primers with Primer3, explicit thermodynamic conditions, reference-based off-target amplification searches, and traceable sequence coordinates. Use for designing primer pairs, checking existing primers, exon-junction or isoform-specific assays, variant masking, clo","files":["SKILL.md","assets/assay-report-template.md","assets/qpcr-config.json","assets/requirements.txt","references/design-workflows.md","references/input-contract.md","references/sources.md","references/specificity.md","references/thermodynamics.md","scripts/_common.py","scripts/_specificity.py","scripts/check_thermodynamics.py","scripts/design_primers.py","scripts/screen_specificity.py"]},{"name":"printautopilot-automation","description":"Automate Printautopilot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"prisma-automation","description":"Automate Prisma tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"prisma-cli","description":"Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.","files":["SKILL.md","references/agent-safety.md","references/complete.md","references/db-execute.md","references/db-pull.md","references/db-push.md","references/db-seed.md","references/debug.md","references/dev.md","references/format.md","references/generate.md","references/init.md","references/mcp.md","references/migrate-deploy.md","references/migrate-dev.md","references/migrate-diff.md","references/migrate-reset.md","references/migrate-resolve.md","references/migrate-status.md","references/studio.md","references/validate.md"]},{"name":"prisma-client-api","description":"Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on \"prisma query\", \"findMany\", \"create\", \"update\", \"delete\", \"$transaction\".","files":["SKILL.md","references/client-methods.md","references/constructor.md","references/filters.md","references/model-queries.md","references/query-options.md","references/raw-queries.md","references/relations.md","references/transactions.md"]},{"name":"prisma-compute","description":"Prisma Compute deployment and hosting guide. Use whenever the user mentions Prisma Compute, `prisma.compute.ts`, `defineComputeConfig`, deploying or hosting a Prisma app, `@prisma/cli app deploy`, `compute:deploy`, `create-prisma --deploy`, `PRISMA_SERVICE_TOKEN`, Compute auth/workspaces, apps/deplo","files":["SKILL.md","references/app-deploy-cli.md","references/compute-config.md","references/create-prisma.md","references/frameworks.md","references/sdk-api.md","references/troubleshooting.md"]},{"name":"prisma-database-setup","description":"Deprecated compatibility name for prisma-orm-setup. Use only when a user or existing integration explicitly invokes prisma-database-setup; otherwise select prisma-orm-setup.","files":["SKILL.md"]},{"name":"prisma-driver-adapter-implementation","description":"Required reference for Prisma ORM 7 SQL driver adapter work. Use when implementing or modifying adapters, adding database drivers, or touching SqlDriverAdapter, Transaction, savepoint, result mapping, or DriverAdapterError behavior. Covers current transaction lifecycle, optional savepoint hooks, ori","files":["SKILL.md"]},{"name":"prisma-mongodb-upgrade","description":"Decision and migration guide for Prisma ORM MongoDB projects on v6, which have no upgrade path to v7. Use when a MongoDB project asks about upgrading Prisma, when \"upgrade to prisma 7\" comes up in a project with provider = \"mongodb\", or when evaluating a move to Prisma 8. Triggers on \"upgrade prisma","files":["SKILL.md","references/client-api-mapping.md","references/decision-stay-or-migrate.md","references/migrations-mapping.md","references/schema-contract-mapping.md","references/verify-cutover-checklist.md"]},{"name":"prisma-orm-setup","description":"Set up Prisma ORM in an application, connect its database, or troubleshoot the connection of an existing Prisma 6, 7, or 8 app. Defaults new applications to Prisma ORM 8 and loads the package-owned prisma-8 skill; keeps existing Prisma 6/7 apps on their version with provider references for PostgreSQ","files":["SKILL.md","references/v6-mongodb.md","references/v7-client-setup.md","references/v7-cockroachdb.md","references/v7-mysql.md","references/v7-postgresql.md","references/v7-prisma-postgres.md","references/v7-sqlite.md","references/v7-sqlserver.md"]},{"name":"prisma-patterns","description":"Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use","files":["SKILL.md"]},{"name":"prisma-postgres","description":"Deprecated compatibility name for prisma-postgres-setup. Use only when a user or existing integration explicitly invokes prisma-postgres; otherwise select prisma-postgres-setup.","files":["SKILL.md"]},{"name":"prisma-postgres-setup","description":"Obtain or reuse a Prisma Postgres database and connect an application. Use for \"set up Prisma Postgres\", \"connect my app to Prisma Postgres\", or Prisma Postgres setup in v0 and Vercel Marketplace. Hands Prisma ORM configuration to prisma-orm-setup; honors an explicit driver, alternative ORM, or data","files":["SKILL.md","references/operations.md","references/provisioning.md","references/vercel-marketplace.md"]},{"name":"prisma-upgrade-v7","description":"Complete migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on \"upgrade to prisma 7\", \"prisma 7 migration\", \"prisma-client generator\", \"driver adapter required\".","files":["SKILL.md","references/accelerate-users.md","references/driver-adapters.md","references/env-variables.md","references/esm-support.md","references/prisma-config.md","references/removed-features.md","references/schema-changes.md"]},{"name":"private-connectivity","description":"Set up private network connectivity to Grafana Cloud — AWS PrivateLink, Azure Private Link, GCP Private Service Connect, and Private Data Source Connect (PDC). Provisions VPC endpoints, private endpoints, or PSC forwarding rules per signal type (metrics / logs / traces / profiles); wires Alloy to pu","files":["SKILL.md","references/aws.md","references/azure-gcp.md"]},{"name":"process-street-automation","description":"Automate Process Street tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"processing-s3-uploads-with-step-functions","description":"Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size. Uses EventBridge to trigger a Step Functions state machine when objects are uploaded to S3. Small files are processed by Lambda, large files by a Fargate task. Includes VPC, ECR ","files":["SKILL.md","references/ecs-task-definition.md","references/iam-roles.md","scripts/Dockerfile","scripts/ecs-trust-policy.json","scripts/eventbridge-trust-policy.json","scripts/fargate_processor.py","scripts/lambda-trust-policy.json","scripts/lambda_function.py","scripts/requirements.txt","scripts/statemachine.asl.json","scripts/stepfunctions-trust-policy.json"]},{"name":"procfu-automation","description":"Automate Procfu tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"product-capability","description":"Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.","files":["SKILL.md"]},{"name":"product-lens","description":"Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring product-market-fit signals, a user journey audit measuring time-to-value, and ICE feature prioritization. Use when","files":["SKILL.md"]},{"name":"production-audit","description":"Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and \"what breaks in prod?\" questions without sending repo data to an external audit service. Use when auditing production readiness before launch, after a merge, or when asked what breaks in prod.","files":["SKILL.md"]},{"name":"production-scheduling","description":"Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response fr","files":["SKILL.md"]},{"name":"productlane-automation","description":"Automate Productlane tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"profilecli-insights","description":"Query live Pyroscope profiles with profilecli, analyze them with pprof, and correlate hot functions with checked-out source code. Use when the user asks to investigate a service with a configured Pyroscope server, profilecli, and pprof.","files":["SKILL.md"]},{"name":"progressive-web-app","description":"Progressive Web Apps with service workers, web manifest, offline support, installation prompts. Use for installable web apps, offline functionality, push notifications, or encountering service worker registration, cache strategy, manifest configuration errors.","files":["SKILL.md"]},{"name":"project-artifact","description":"Generate and publish a project status artifact — an opinionated, tabbed status page for a project too big for one update (overview & success criteria, the workstream sequence, next steps, plus background, plan, risks & open questions, and decisions/FAQ when they earn a tab) — published with the buil","files":["SKILL.md","swe.md"]},{"name":"project-bubble-automation","description":"Automate Project Bubble tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"project-development","description":"This skill should be used for project-level decisions about LLM-powered systems: whether an LLM is the right primitive for the task at hand, the shape of a multi-stage batch or agent pipeline, token and cost estimation, choosing between single-agent and multi-agent at the project level, structured o","files":["SKILL.md","references/case-studies.md","references/pipeline-patterns.md","scripts/pipeline_template.py"]},{"name":"project-flow-ops","description":"Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.","files":["SKILL.md"]},{"name":"project-skill-audit","description":"Analyze a project's past Codex sessions, memory files, and existing local skills to recommend the highest-value skills to create or update. Use when a user asks what skills a project needs, wants skill ideas grounded in real project history, wants an audit of current project-local skills, or wants r","files":["SKILL.md","agents/openai.yaml"]},{"name":"project-workflow-analysis-blueprint-generator","description":"Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error","files":["SKILL.md"]},{"name":"projection-patterns","description":"Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.","files":["SKILL.md","references/details.md"]},{"name":"prometheus","description":"Prometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.","files":["SKILL.md"]},{"name":"prometheus-cardinality-troubleshooter","description":"Diagnostic guide for active Prometheus cardinality problems — slow queries, OOMing Prometheus, high Grafana Cloud Active Series or DPM bills, \"too many samples\" ingest errors, series churn, or rapid memory growth. Walks through tsdb status endpoints, per-metric and per-label drill-downs, common-culp","files":["SKILL.md"]},{"name":"prometheus-configuration","description":"Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.","files":["SKILL.md","references/details.md"]},{"name":"prometheus-grafana","description":"Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.","files":["SKILL.md","assets/grafana-dashboard-template.json","assets/prometheus-config.yaml","references/alerting-rules.md","references/promql-cheatsheet.md","scripts/backup-grafana.sh","scripts/prometheus-health-check.sh"]},{"name":"prometheus-label-strategy","description":"Expert evaluator for Prometheus label strategy on Grafana Cloud. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, histogram bucket discipline, and instrumentation hygiene. Prevents high cardinality at the source — in app","files":["SKILL.md"]},{"name":"prompt-caching-strategy","description":"Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says \"prompt cache\", \"cache hit rate\", \"reduce LLM cost\", \"optimize token u","files":["SKILL.md"]},{"name":"prompt-engineering-patterns","description":"This skill should be used when the user asks to \"optimize a prompt\", \"improve prompt performance\", \"design a prompt template\", \"write better prompts\", \"debug prompt issues\", \"use chain-of-thought\", \"structured prompting\", \"few-shot prompting\", or wants to apply advanced prompt engineering patterns f","files":["SKILL.md","assets/few-shot-examples.json","assets/prompt-template-library.md","references/chain-of-thought.md","references/details.md","references/few-shot-learning.md","references/prompt-optimization.md","references/prompt-templates.md","references/system-prompts.md","scripts/optimize-prompt.py"]},{"name":"prompt-images","description":"Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.","files":["SKILL.md"]},{"name":"prompt-optimizer","description":"Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases inc","files":["SKILL.md"]},{"name":"prompt-videos","description":"Prompting techniques for AI video generation models on Replicate. Use when writing prompts for video models or building video generation features.","files":["SKILL.md"]},{"name":"promql","description":"Write, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics. Covers `rate` vs `irate` vs `increase`, label matchers and regex, `sum / avg / topk / by / without` aggregation, classic + native `histogram_quantile`, ratios with divide-by-zero guards, `absent` / `changes`","files":["SKILL.md","references/patterns.md"]},{"name":"proofly-automation","description":"Automate Proofly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"property-based-testing","description":"Writes, reviews, and debugs property-based tests — Hypothesis, fast-check, proptest, jqwik, rapid, and Echidna or Medusa for Solidity invariants. Use whenever tests should cover a whole input domain instead of a hand-picked list of examples: encode/decode and serialize/deserialize pairs, parsers, ca","files":["SKILL.md","README.md","agents/openai.yaml","references/generating.md","references/interpreting-failures.md","references/libraries.md","references/refactoring.md","references/reviewing.md"]},{"name":"protect-mcp-setup","description":"Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.","files":["SKILL.md","references/receipt-format.md"]},{"name":"protect-with-password","description":"Generate ONE strong password and apply it to each referenced file (PDF, Word, Excel, PowerPoint, or any type). Use when asked to password-protect / encrypt / lock one or more deliverable files with a single password before sharing.","files":["SKILL.md"]},{"name":"protobuf-grpc-api-review","description":"Review Protocol Buffer (.proto) and gRPC API changes for wire and JSON compatibility, safe schema evolution, rollout hazards, and RPC contract quality. Use when reviewing proto diffs, adding or changing messages and services, planning migrations, or diagnosing cross-version failures.","files":["SKILL.md","references/grpc-contract-review.md","references/protobuf-compatibility.md"]},{"name":"protocol-reverse-engineering","description":"Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.","files":["SKILL.md"]},{"name":"prototype","description":"Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.","files":["SKILL.md","LOGIC.md","UI.md","agents/openai.yaml"]},{"name":"provider-actions","description":"Implement Terraform Provider actions using the Plugin Framework. Use when developing imperative operations that execute at lifecycle events (before/after create, update, destroy).","files":["SKILL.md"]},{"name":"provider-configuration","description":"Implement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform ide","files":["SKILL.md","references/case-studies.md","references/credential-chain.md"]},{"name":"provider-docs","description":"Create, update, and review Terraform provider documentation for Terraform Registry using HashiCorp-recommended patterns, tfplugindocs templates, and schema descriptions. Use when adding or changing provider configuration, resources, data sources, ephemeral resources, list resources, functions, actio","files":["SKILL.md","agents/openai.yaml","references/hashicorp-provider-docs.md"]},{"name":"provider-ephemeral-resources","description":"Implement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when ad","files":["SKILL.md"]},{"name":"provider-framework-migration","description":"Migrate Terraform provider resources and data sources from Plugin SDKv2 to the Plugin Framework: muxing both plugins in one provider (terraform-plugin-mux, tf5to6server), per-resource migration workflow, SDKv2-to-Framework schema mapping (ForceNew, ValidateFunc, DiffSuppressFunc, Default, Timeouts, ","files":["SKILL.md","references/schema-mapping.md"]},{"name":"provider-resources","description":"Implement Terraform Provider resources and data sources using the Plugin Framework: CRUD operations, schema design, plan modifiers and validators, not-found handling, waiters for eventually consistent APIs, import support, resource design principles, and required acceptance test coverage. Use when a","files":["SKILL.md","references/design-principles.md","references/retries-and-waiters.md"]},{"name":"provider-test-patterns","description":"Terraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import test","files":["SKILL.md","references/checks.md","references/ephemeral.md","references/sweepers.md"]},{"name":"provider-upgrade","description":"Upgrade any Pulumi provider to a newer version and reconcile the resulting diff. Use when users want to upgrade or update a provider (including editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml to bump a provider SDK), check for breaking changes before or during an upgra","files":["SKILL.md","agents/openai.yaml","references/diagnostic-toolbox.md","references/gcp-v10.md","use_cases.yaml"]},{"name":"proxiedmail-automation","description":"Automate Proxiedmail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"publish-models","description":"Push and publish custom AI models to Replicate, and set up CI/CD for releasing new model versions safely. Use when running cog push, deploying a model to Replicate, releasing a new version, validating a model with cog-safe-push before publishing, configuring a Replicate deployment, setting up GitHub","files":["SKILL.md"]},{"name":"publish-to-pages","description":"Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHu","files":["SKILL.md","scripts/convert-pdf.py","scripts/convert-pptx.py","scripts/publish.sh"]},{"name":"pufferlib","description":"Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review. Covers the native 5.0 build and environment API, published 3.0.0 Gymnasium/PettingZoo adaptation, and a pinned historical 4.0 profile.","files":["SKILL.md","references/environments.md","references/integration.md","references/native-5.md","references/policies.md","references/training.md","references/vectorization.md","scripts/__init__.py","scripts/_common.py","scripts/benchmark_vectorization.py","scripts/env_contract_validator.py","scripts/env_template.py","scripts/inspect_checkpoint.py","scripts/repro_plan.py","scripts/train_template.py","scripts/validate_plan.py"]},{"name":"pulumi-arm-to-pulumi","description":"Convert or migrate Azure ARM (Azure Resource Manager) templates, Bicep templates, or code to Pulumi, including importing existing Azure resources. This skill MUST be loaded whenever a user requests migration, conversion, or import of ARM templates, Bicep templates, ARM code, Bicep code, or Azure res","files":["SKILL.md","agents/openai.yaml","arm-conversion-patterns.md","arm-import.md","use_cases.yaml"]},{"name":"pulumi-automation-api","description":"Load this skill when a user asks how to run Pulumi programmatically, embed Pulumi in an application, orchestrate multiple stacks in code, build a self-service infrastructure portal, replace pulumi CLI shell scripts with code, or use the Pulumi Automation API (LocalWorkspace, createOrSelectStack, inl","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-best-practices","description":"Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi previ","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-cdk-to-pulumi","description":"Load this skill when a user wants to migrate, convert, port, translate, or move an AWS CDK application (including CDK stacks, constructs, or CloudFormation-synthesized templates) to Pulumi. Phrases such as \"convert CDK to Pulumi\", \"migrate CDK app\", \"port CDK stacks\", \"replace CDK with Pulumi\", \"sto","files":["SKILL.md","agents/openai.yaml","cdk-convert.md","cdk-importer.md","cloudformation-id-lookup.md","use_cases.yaml"]},{"name":"pulumi-component","description":"Guide for authoring Pulumi ComponentResource classes. Use when creating reusable infrastructure components, designing component interfaces, setting up multi-language support, or distributing component packages.","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-context-api","description":"Query the Pulumi Context API, a graph query interface over an\norganization's infrastructure in Pulumi Cloud. Use when a question is\nabout relationships or reachability across resources and stacks: the\nimpact of a change (\"what breaks if I change this?\", blast radius), what\ndepends on a resource or a","files":["SKILL.md","use_cases.yaml"]},{"name":"pulumi-debug-failed-operation","description":"Debug a Pulumi update or preview that failed: read the failure Pulumi already\nrecorded, find what caused it, and fix it. Load this skill when the user asks\nto debug, diagnose, or fix a failed update or preview, or points at a failing\n`pulumi up` or `pulumi preview`. Don't load it for authoring new\ni","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-esc","description":"Guidance for working with Pulumi ESC (Environments, Secrets, and Configuration). Use when users ask about managing secrets, configuration, environments, short-term credentials, configuring OIDC for AWS, Azure, GCP, integrating with secret stores (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-migrate-from-discovered-stack","description":"Migrate a CloudFormation or ARM stack into a Pulumi stack, sourced from a\nstack that Pulumi Cloud's Discovery feature has already found and exposed\nvia the discovered-stacks API. Load this skill when the user has a\ndiscovered stack in Pulumi Cloud and wants to bring its resources under\nPulumi manage","files":["SKILL.md","agents/openai.yaml","arm.md","cloudformation.md","refactor.md","scripts/build_import.py","scripts/triage.py","use_cases.yaml"]},{"name":"pulumi-neo-handoff","description":"Hand off the current thread to a new Pulumi Neo task as a one-way transfer. Use when the user explicitly asks to hand off, send, transfer, or continue current work in Pulumi Neo (e.g. \"hand this to Neo\", \"continue in Neo\", \"/neo-handoff\"). Do not load when the user only mentions Neo, asks what Neo c","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-overview","description":"Use this skill for any task that creates, modifies, inspects, or destroys cloud infrastructure or SaaS configuration, from one-off CLI operations to full multi-resource projects, across providers in the Pulumi ecosystem. A typical project spans many providers (AWS or Azure or GCP, Kubernetes, Cloudf","files":["SKILL.md","use_cases.yaml"]},{"name":"pulumi-terraform-to-pulumi","description":"Migrate Terraform/OpenTofu projects to Pulumi, including translating HCL source code and/or importing Terraform state into a Pulumi stack. Use when a user wants to convert Terraform to Pulumi, migrate from HCL, or import tfstate into Pulumi. Do NOT trigger for general Terraform-vs-Pulumi comparisons","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"pulumi-upgrade-provider","description":"Automate Pulumi provider repo upgrades with the `upgrade-provider` tool. Use when upgrading a pulumi provider repository to a new upstream version, running `upgrade-provider`, and addressing its common failure modes like patch conflicts or missing module mappings.","files":["SKILL.md","agents/openai.yaml","references/upgrade-provider-errors.md","use_cases.yaml"]},{"name":"push-notification-setup","description":"Implements push notifications across iOS, Android, and web using Firebase Cloud Messaging and native services. Use when adding notification capabilities, handling background messages, or setting up notification channels.","files":["SKILL.md"]},{"name":"push-to-registry","description":"Push Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.","files":["SKILL.md"]},{"name":"pushbullet-automation","description":"Automate Pushbullet tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pushover-automation","description":"Automate Pushover tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"pybamm","description":"Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cut","files":["SKILL.md","assets/chen2020-protocol.json","references/protocol-and-comparison.md","scripts/simulate_battery.py"]},{"name":"pycalphad","description":"Computes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad. Use for alloy phase stability, equilibrium temperature sweeps, tie lines, lever-rule checks, or reproducible phase-fraction calculations with explicit components ","files":["SKILL.md","assets/equilibrium.json","references/model-and-validation.md","scripts/equilibrate.py"]},{"name":"pydantic-models-py","description":"Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.","files":["SKILL.md","assets/template.py","references/capabilities.md"]},{"name":"pydeseq2","description":"Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.","files":["SKILL.md","references/analysis_patterns.md","references/api_reference.md","references/core_workflow_steps.md","references/workflow_guide.md","scripts/run_deseq2_analysis.py"]},{"name":"pydicom","description":"Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.","files":["SKILL.md","references/common_tags.md","references/transfer_syntaxes.md","scripts/__init__.py","scripts/_common.py","scripts/anonymize_dicom.py","scripts/deidentification_audit.py","scripts/dicom_inventory.py","scripts/dicom_to_image.py","scripts/extract_metadata.py","scripts/pixel_frame_planner.py","scripts/transfer_syntax_inspector.py","scripts/uid_mapping_validator.py"]},{"name":"pyhealth","description":"Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. Use for PyHealth dataset loading, MIMIC-III/IV, eICU or OMOP prediction tasks, patient-level evaluation, mortality/readmission/length-of-stay modeling, medication recommendation, sleep sta","files":["SKILL.md","assets/starter_pipeline.py","references/datasets.md","references/examples.md","references/installation.md","references/medcode.md","references/models.md","references/tasks.md"]},{"name":"pylabrobot","description":"Develops and reviews PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Supports PyLabRobot protocols and API questions; keep physical execution behind an explicit operator safety gate.","files":["SKILL.md","assets/protocol-manifest.schema.json","references/analytical-equipment.md","references/hardware-backends.md","references/liquid-handling.md","references/material-handling.md","references/resources.md","references/review.md","references/visualization.md","scripts/__init__.py","scripts/_common.py","scripts/check_deck_geometry.py","scripts/generate_simulation_plan.py","scripts/inspect_backends.py","scripts/plan_transfers.py","scripts/validate_manifest.py"]},{"name":"pymatgen","description":"Analyzes, validates, converts, and transforms materials structures and computed materials data with pymatgen. Use for local phase diagrams, symmetry sensitivity, electronic-structure I/O, and bounded Materials Project queries.","files":["SKILL.md","references/analysis_modules.md","references/core_classes.md","references/io_formats.md","references/materials_project_api.md","references/transformations_workflows.md","scripts/_common.py","scripts/artifact_manifest.py","scripts/composition_structure_validator.py","scripts/io_conversion_plan.py","scripts/mp_query.py","scripts/phase_diagram_generator.py","scripts/structure_analyzer.py","scripts/structure_converter.py","scripts/symmetry_sensitivity_report.py"]},{"name":"pymc","description":"Builds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive checks, diagnostics, and PSIS-LOO model comparison. Use for probabilistic modeling and uncertainty inference in PyMC.","files":["SKILL.md","assets/hierarchical_model_template.py","assets/linear_regression_template.py","references/distributions.md","references/model_patterns.md","references/sampling_inference.md","references/standard_workflow.md","references/workflows.md","scripts/model_comparison.py","scripts/model_diagnostics.py"]},{"name":"pymoo","description":"Solves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.","files":["SKILL.md","references/algorithms.md","references/constraints_mcdm.md","references/lifecycle.md","references/operators.md","references/parallelization.md","references/problems.md","references/quick_start_workflows.md","references/visualization.md","scripts/custom_problem_example.py","scripts/decision_making_example.py","scripts/many_objective_example.py","scripts/multi_objective_example.py","scripts/single_objective_example.py"]},{"name":"pyopenms","description":"Processes mass spectrometry data with pyOpenMS. Supports proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spe","files":["SKILL.md","references/data_structures.md","references/feature_detection.md","references/file_io.md","references/identification.md","references/metabolomics.md","references/signal_processing.md","scripts/_common.py","scripts/accurate_mass_search.py","scripts/align_link_quantify.py","scripts/consensus_to_matrix.py","scripts/convert_format.py","scripts/detect_adducts.py","scripts/detect_features_centroided.py","scripts/detect_features_metabo.py","scripts/digest_protein.py","scripts/export_gnps_sirius.py","scripts/extract_chromatograms.py","scripts/inspect_ms_data.py","scripts/mass_calculator.py","scripts/plot_ms_data.py","scripts/process_identifications.py","scripts/process_spectra.py","scripts/theoretical_spectrum.py"]},{"name":"pyroscope","description":"Continuously profile applications with Grafana Pyroscope and read the result as flame graphs. Covers three instrumentation paths — language SDK push (Go / Java / Python / Ruby / Node / .NET / Rust), Alloy eBPF auto-instrumentation (no code change, requires kernel 5.8+ with BTF), and SDK → Alloy rece","files":["SKILL.md","references/ebpf-and-query.md","references/sdks.md"]},{"name":"pysam","description":"Provides Python/HTSlib workflows for genomic files. Used when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.","files":["SKILL.md","references/alignment_files.md","references/api_reference.md","references/common_workflows.md","references/coordinates_and_indexing.md","references/cram_and_performance.md","references/migration_to_0_24.md","references/sequence_files.md","references/sources.md","references/variant_files.md","scripts/alignment_qc.py","scripts/filter_alignments.py","scripts/inspect_hts.py","scripts/variant_summary.py"]},{"name":"pytdc","description":"Provides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.","files":["SKILL.md","references/datasets.md","references/oracles.md","references/sources.md","references/utilities.md","scripts/_common.py","scripts/benchmark_evaluation.py","scripts/cache_audit.py","scripts/discover_metadata.py","scripts/load_and_split_data.py","scripts/molecular_generation.py"]},{"name":"pytest-coverage","description":"Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.","files":["SKILL.md"]},{"name":"pytest-skill","description":"Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions \"pytest\", \"conftest\", \"@pytest.fixture\", \"@pytest.mark\", \"Python test\". Triggers on: \"pytest\", \"conftest\", \"Python test\", \"parametrize\", \"Python unit test\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"python-anti-patterns","description":"Use this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.","files":["SKILL.md"]},{"name":"python-appservice-deploy","description":"Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \\\"Flask App Service\\\", \\\"Django App Service\\\", \\\"FastAPI App Service\\\", \\\"deploy Python to App Service\\\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.","files":["SKILL.md","references/create-app.md","references/deploy-azcli.md","references/deploy-azd.md","references/detect.md","references/errors.md","references/post-deploy-message.md","references/startup-commands.md","references/transient-retry.md","scripts/generate-app-name.ps1","scripts/generate-app-name.sh","scripts/retry-az-create.ps1","scripts/retry-az-create.sh"]},{"name":"python-architecture","description":"Structure Python backends with explicit dependency direction, ports/adapters, and runtime boundaries. Use when shaping project layout, clean architecture, service boundaries, dependency injection, report rendering boundaries, or transport separation in Python.","files":["SKILL.md","evals/evals.json","references/clean-architecture.md"]},{"name":"python-async-runtime","description":"Write correct async Python runtime code with explicit blocking-I/O boundaries, cancellation, and timeout handling. Use when editing `asyncio` workflows, background loops, async services, or mixed sync/async integrations.","files":["SKILL.md","evals/evals.json","references/async-boundaries.md"]},{"name":"python-azure-iot-edge-modules","description":"Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.","files":["SKILL.md","references/python-edge-module-template.md","references/python-official-best-practices.md"]},{"name":"python-background-jobs","description":"Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.","files":["SKILL.md","references/details.md"]},{"name":"python-best-practices","description":"Write maintainable Python with small functions, explicit boundaries, guard clauses, and readable state flow. Use when refactoring Python services, helpers, modules, or async logic for clarity—not generic test writing, tooling setup, or database transaction implementation.","files":["SKILL.md","evals/evals.json"]},{"name":"python-code-style","description":"Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.","files":["SKILL.md"]},{"name":"python-configuration","description":"Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.","files":["SKILL.md","references/details.md"]},{"name":"python-database","description":"Implement Python database access with parameterized SQL, transaction scope, connection helpers, and repository seams. Use when editing Postgres queries, repositories, transactions, pooling, or persistence boundaries in Python.","files":["SKILL.md","evals/evals.json","references/db-boundaries.md"]},{"name":"python-design-patterns","description":"Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown","files":["SKILL.md","references/details.md"]},{"name":"python-error-handling","description":"Design Python error paths with narrow exceptions, rollback, contextual logs, and preserved blocker truth. Use when handling retries, verifier outcomes, parser failures, or exception flow in Python services.","files":["SKILL.md","evals/evals.json"]},{"name":"python-language","description":"Core Python 3.11+ language standards for typing, dataclasses, imports, pathlib, and stdlib-first code. Use for idiomatic language constructs in Python modules or stubs; defer pytest fixtures, database/client configuration, subprocess security, and other specialized concerns.","files":["SKILL.md","evals/evals.json"]},{"name":"python-mcp-server-generator","description":"Use this skill when the user wants to create a new Model Context Protocol (MCP) server in Python. Also use it to expose Python functions, an API, or a database to AI clients as MCP tools. The skill makes a uv project with the MCP Python SDK v2 (MCPServer), typed tools, in-memory tests, and client co","files":["SKILL.md","references/streamable-http.md"]},{"name":"python-observability","description":"Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.","files":["SKILL.md","references/details.md"]},{"name":"python-packaging","description":"Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"python-patterns","description":"Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question.","files":["SKILL.md"]},{"name":"python-performance-optimization","description":"Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"python-pro","description":"Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, as","files":["SKILL.md","references/async-patterns.md","references/packaging.md","references/standard-library.md","references/testing.md","references/type-system.md"]},{"name":"python-project-structure","description":"Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.","files":["SKILL.md"]},{"name":"python-resilience","description":"Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.","files":["SKILL.md","references/details.md"]},{"name":"python-resource-management","description":"Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.","files":["SKILL.md","references/details.md"]},{"name":"python-security","description":"Secure Python services against secret leakage, injection, unsafe subprocess calls, and dependency drift. Use when handling env vars, tokens, SQL, file paths, shell commands, auth flows, or Python security gates.","files":["SKILL.md","evals/evals.json"]},{"name":"python-testing","description":"Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage.","files":["SKILL.md"]},{"name":"python-testing-patterns","description":"Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"python-tooling","description":"Configure Python tooling, dependency surfaces, static analysis, and verification gates. Use when editing `pyproject.toml`, `requirements.txt`, `pytest.ini`, `ruff`, `pyright`, CI, or Python release checks.","files":["SKILL.md","evals/evals.json","references/tooling-gates.md"]},{"name":"python-type-safety","description":"Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.","files":["SKILL.md","references/details.md"]},{"name":"pytorch-fsdp2","description":"Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.","files":["SKILL.md","references/pytorch_dcp_async_recipe.md","references/pytorch_dcp_overview.md","references/pytorch_dcp_recipe.md","references/pytorch_ddp_notes.md","references/pytorch_device_mesh_tutorial.md","references/pytorch_examples_fsdp2.md","references/pytorch_fsdp1_api.md","references/pytorch_fsdp2_tutorial.md","references/pytorch_fully_shard_api.md","references/pytorch_tp_tutorial.md","references/ray_train_fsdp2_example.md","references/torchtitan_fsdp_notes.md"]},{"name":"pytorch-lightning","description":"Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network traini","files":["SKILL.md","references/best_practices.md","references/callbacks.md","references/data_module.md","references/distributed_training.md","references/lightning_module.md","references/logging.md","references/trainer.md","scripts/quick_trainer_setup.py","scripts/template_datamodule.py","scripts/template_lightning_module.py"]},{"name":"pytorch-patterns","description":"PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce.","files":["SKILL.md"]},{"name":"pyvene-interventions","description":"Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.","files":["SKILL.md","references/README.md","references/api.md","references/tutorials.md"]},{"name":"pyzotero","description":"Manages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API. Applies when working with Zotero libraries programmatically, managing bibliographic references, exporting ci","files":["SKILL.md","references/authentication.md","references/cli.md","references/collections.md","references/error-handling.md","references/exports.md","references/files-attachments.md","references/full-text.md","references/mcp.md","references/pagination.md","references/read-api.md","references/saved-searches.md","references/search-params.md","references/tags.md","references/write-api.md"]},{"name":"qa-only","description":"Report browser/API/CLI/job/worker/webhook bugs. (gstack)","files":["SKILL.md","sections/exploratory.md","sections/manifest.json","sections/reporting.md"]},{"name":"qdrant-clients-sdk","description":"Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.","files":["SKILL.md"]},{"name":"qdrant-deployment-options","description":"Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new proje","files":["SKILL.md"]},{"name":"qdrant-edge","description":"Guides building on Qdrant Edge, the embedded in-process shard. Use when someone asks 'how to sync Edge with the server', 'keep a local shard in sync with Qdrant Cloud', 'BM25 or keyword search on Edge', 'hybrid search on Edge', 'embeddings on device', 'Edge snapshots', 'apply a partial snapshot', 'w","files":["SKILL.md"]},{"name":"qdrant-horizontal-scaling","description":"Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.","files":["SKILL.md"]},{"name":"qdrant-hybrid-cloud-setup","description":"Setting up and running Qdrant Hybrid Cloud on your own Kubernetes cluster (managed, on-prem, or edge): prerequisites, storage/CSI and backups, installing the Qdrant Cloud agent and operator, creating/exposing/securing clusters, registry mirroring, and secret rotation. Use when someone wants to set u","files":["SKILL.md"]},{"name":"qdrant-hybrid-search","description":"Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to combine results from multiple searches?' and 'combining multiple representations'. Also use for how","files":["SKILL.md","combining-searches/SKILL.md","search-types/SKILL.md"]},{"name":"qdrant-hybrid-search-combining","description":"Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion). Use when someone asks 'RRF or DBSF?', 'how to combine sparse and dense', 'how to combine scores from multiple searches?', 'custom fusion', 'fusion is not producing good results', 'how do I tune RRF', 'what k","files":["SKILL.md"]},{"name":"qdrant-hybrid-search-prefetches","description":"Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how to combine multiple fields for retrieval?', 'payloads or sparse vectors for lexical?', 'which sparse","files":["SKILL.md"]},{"name":"qdrant-indexing-performance-optimization","description":"Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing t","files":["SKILL.md"]},{"name":"qdrant-memory-usage-optimization","description":"Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or node","files":["SKILL.md"]},{"name":"qdrant-migration-tool","description":"Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks 'how do I migrate from Pinecone/Weaviate/Milvus/Elasticsearch/OpenSearch/pgvector/s3/Azure/Chroma/Redis/MongoDB/FAISS/Solr to Qdrant', 'move my","files":["SKILL.md"]},{"name":"qdrant-minimize-latency","description":"Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.","files":["SKILL.md"]},{"name":"qdrant-model-migration","description":"Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dim","files":["SKILL.md"]},{"name":"qdrant-monitoring","description":"Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', 'set up alerts', 'cluster health check', or needs to set up Prometheus, Grafana, health chec","files":["SKILL.md","debugging/SKILL.md","setup/SKILL.md"]},{"name":"qdrant-monitoring-debugging","description":"Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's slow'. Also use when performance degrades without obvious confi","files":["SKILL.md"]},{"name":"qdrant-monitoring-setup","description":"Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set","files":["SKILL.md"]},{"name":"qdrant-multitenancy","description":"Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks 'how to isolate customer data', 'how to build multi-tenant search/RAG', 'how many collections should I create', 'how to partition tenants by payload', 'a customer's data legally has to s","files":["SKILL.md"]},{"name":"qdrant-performance-optimization","description":"Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.","files":["SKILL.md","indexing-performance-optimization/SKILL.md","memory-usage-optimization/SKILL.md","search-speed-optimization/SKILL.md"]},{"name":"qdrant-relevance-feedback","description":"Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more relevant results from vector search', 'cheaper/b","files":["SKILL.md"]},{"name":"qdrant-scaling","description":"Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput or QPS', 'CPU is pegged / can't keep up with the request rate', 'one query is slow / p99 or tail latency too high', 'cluster is slow', 'too many tenants', 'vertica","files":["SKILL.md","minimize-latency/SKILL.md","scaling-data-volume/SKILL.md","scaling-data-volume/horizontal-scaling/SKILL.md","scaling-data-volume/sliding-time-window/SKILL.md","scaling-data-volume/tenant-scaling/SKILL.md","scaling-data-volume/vertical-scaling/SKILL.md","scaling-qps/SKILL.md","scaling-query-volume/SKILL.md"]},{"name":"qdrant-scaling-data-volume","description":"Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.","files":["SKILL.md","horizontal-scaling/SKILL.md","sliding-time-window/SKILL.md","tenant-scaling/SKILL.md","vertical-scaling/SKILL.md"]},{"name":"qdrant-scaling-qps","description":"Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.","files":["SKILL.md"]},{"name":"qdrant-scaling-query-volume","description":"Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.","files":["SKILL.md"]},{"name":"qdrant-search-quality","description":"Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'how","files":["SKILL.md","diagnosis/SKILL.md","search-strategies/SKILL.md","search-strategies/hybrid-search/SKILL.md","search-strategies/hybrid-search/combining-searches/SKILL.md","search-strategies/hybrid-search/search-types/SKILL.md","search-strategies/relevance-feedback/SKILL.md"]},{"name":"qdrant-search-quality-diagnosis","description":"Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', 'should I fine-tune my embedding model', 'quality dropped after quantizatio","files":["SKILL.md"]},{"name":"qdrant-search-speed-optimization","description":"Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growt","files":["SKILL.md"]},{"name":"qdrant-search-strategies","description":"Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevan","files":["SKILL.md","hybrid-search/SKILL.md","hybrid-search/combining-searches/SKILL.md","hybrid-search/search-types/SKILL.md","relevance-feedback/SKILL.md"]},{"name":"qdrant-sizing","description":"Sizes a Qdrant deployment before it is provisioned. Use when someone asks 'how much RAM do I need', 'how many nodes', 'how big should my cluster be', 'sizing', 'capacity planning', 'will N vectors fit', 'what instance type should I pick', or gives a vector count and dimensions and asks what to provi","files":["SKILL.md"]},{"name":"qdrant-sliding-time-window","description":"Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.","files":["SKILL.md"]},{"name":"qdrant-tenant-scaling","description":"Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.","files":["SKILL.md"]},{"name":"qdrant-version-upgrade","description":"Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.","files":["SKILL.md"]},{"name":"qdrant-vertical-scaling","description":"Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of h","files":["SKILL.md"]},{"name":"qiime2-amplicon","description":"Processes paired-end 16S amplicon reads into QIIME 2 ASVs and taxonomy with retained artifact provenance. Checks paired FASTQ manifests, primer orientation diagnostics, predicted post-trimming overlap, sample IDs, runtime versions and read retention, and guides selection of compatible taxonomic clas","files":["SKILL.md","references/runtime-and-interpretation.md","scripts/amplicon_workflow.py"]},{"name":"qiskit","description":"Builds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, an","files":["SKILL.md","references/algorithms.md","references/backends.md","references/circuits.md","references/migration.md","references/patterns.md","references/primitives.md","references/setup.md","references/sources.md","references/testing.md","references/transpilation.md","references/visualization.md","scripts/check_environment.py","scripts/inspect_runtime.py","scripts/run_local_primitives.py"]},{"name":"quaderno-automation","description":"Automate Quaderno tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"qualaroo-automation","description":"Automate Qualaroo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"quality-engineering-appium-mcp","description":"Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).","files":["SKILL.md","evals/evals.json","references/driver-ladder.md","references/lambdatest-cloud-setup.md","references/project-context.md","references/setup.md","references/tool-cheatsheet.md","scripts/preflight.sh"]},{"name":"quality-engineering-automation-health","description":"Measures whether an automation suite builds release confidence via feedback-loop length, suite reliability, release cadence, and production escape rate, and emits a release_confidence verdict. Use when judging suite value, ROI, or pre-release trust; not for writing or healing tests.","files":["SKILL.md","evals/evals.json","references/confidence-report-template.md","references/metrics-definitions.md"]},{"name":"quality-engineering-business-analysis","description":"Investigate requirements via atomic AC decomposition, actor/permission matrices, and truth-table edge cases; enforce User Story standards (scope fences, platform tags, toggles). Use when writing/reviewing Stories or AC with multi-condition logic, feature toggles, or market variants (VN/MY/SG).","files":["SKILL.md","evals/evals.json","references/analysis_patterns.md","references/logic_truth_tables.md","references/user_story_template.md"]},{"name":"quality-engineering-flaky-triage","description":"Quarantines an intermittently failing test behind a ticket with an owner and expiry, assigns a root-cause bucket from isolated reruns, and defines when the test leaves quarantine. Use when a test is a QUARANTINE_CANDIDATE or fails without a code change; not for deterministic failures.","files":["SKILL.md","evals/evals.json","references/quarantine-ticket-template.md","references/reliability-math.md","references/root-cause-buckets.md"]},{"name":"quality-engineering-jira-integration","description":"Trigger only when the user explicitly requests live Jira or Zephyr retrieval, existing-link inspection, linking authored test cases, label updates, or stale-link audits. Do not trigger for analysis-only prompts such as 'Analyze the acceptance criteria for TICK-4521', supplied acceptance criteria, te","files":["SKILL.md","evals/evals.json"]},{"name":"quality-engineering-playwright-cli","description":"Standardizes token-efficient browser automation via playwright-cli, with Playwright MCP as the fallback driver. Runs a preflight, picks the driver rung, captures aria snapshots/console/screenshots into a named evidence dir. Use for web verification, navigation, and capturing snapshots/logs.","files":["SKILL.md","evals/evals.json","references/anti-patterns-rationale.md","references/driver-ladder.md","references/setup.md","scripts/preflight.sh"]},{"name":"quality-engineering-playwright-pom-generation","description":"Generates Playwright page objects from an executable test plan, one class per screen with ladder-compliant locators and no assertions, wired into a shared fixture. Use when a web scenario needs a page object that does not exist yet, or when locators drift and the page object must be rebuilt.","files":["SKILL.md","evals/evals.json","references/fixture-wiring.md","references/page-object-template.md","references/playwright-mcp-authoring.md"]},{"name":"quality-engineering-quality-assurance","description":"Write or review manual Zephyr test cases with 1-condition-per-TC granularity, Module_Action on Screen when Condition naming, platform prefix rules, and High/Normal/Low priority classification. Use for test-case authoring and review; defer Jira traceability, linking, and pushing cases to Zephyr.","files":["SKILL.md","evals/evals.json","references/TDD_FEEDBACK.md","references/test_case_standards.md"]},{"name":"quality-engineering-selector-stability","description":"Cross-stack selector and test-id policy for web and mobile automation. Use when writing or reviewing E2E/UI test locators, or adding data-testid/accessibility identifiers to components.","files":["SKILL.md","evals/evals.json","references/drift-classification.md","references/insertion-policy.md","references/selector-ladder.md","references/testid-naming.md"]},{"name":"quality-engineering-test-healing","description":"Failure taxonomy and allowed/forbidden repairs for a failing E2E test. Use when a Playwright/Maestro/Detox/XCUITest/Espresso/Appium test fails and you must decide whether to repair the test or route to a real bug.","files":["SKILL.md","evals/evals.json","references/failure-taxonomy.md","references/forbidden-repairs.md","references/repair-catalog.md","references/verdict-contract.md"]},{"name":"quality-engineering-test-plan-authoring","description":"Turn acceptance criteria into an executable test plan (scenarios, seed, selector gaps) before generating E2E code. Use when ACs exist but no runnable test plan does yet.","files":["SKILL.md","evals/evals.json","references/ac-scenario-mapping.md","references/golden-requirements.md","references/mobile-lane-matrix.md","references/playwright-agents-artifacts.md","references/scenario-expansion.md","references/test-plan-template.md"]},{"name":"quality-engineering-visual-baseline","description":"Captures, masks, compares, and updates screenshot baselines for web and mobile suites, with per-region thresholds and a reviewed-diff rule for every baseline change. Use when a screenshot assertion fails, a baseline needs updating, or visual checks are being added; not for deciding what to verify.","files":["SKILL.md","evals/evals.json","references/baseline-update-review.md","references/masking-and-thresholds.md","references/tool-matrix.md"]},{"name":"quality-engineering-zephyr-coverage-analysis","description":"Audit test coverage health, gaps, and QE debt for Jira stories or epics. Produces coverage_analysis_report.md with AC-to-TC heatmap, risk scores, and prioritized action plan. Use when assessing coverage percentage, pre-release readiness, sprint readiness, or identifying missing test cases. Do NOT us","files":["SKILL.md","evals/evals.json","references/coverage_report_template.md"]},{"name":"quality-engineering-zephyr-test-generation","description":"Generate Zephyr test cases from Jira stories: parse acceptance criteria and business rules, impact-analyze existing TCs (update vs. create new), and draft correctly named test cases. Use for AC-to-test generation; defer post-generation Jira linking and manual test-case quality review.","files":["SKILL.md","evals/evals.json","references/impact_analysis.md","references/smartbear-api.md","references/tc_format.md","references/zephyr_schema.json"]},{"name":"quality-nonconformance","description":"Quality control and non-conformance management for regulated manufacturing (FDA 21 CFR 820, IATF 16949, AS9100): NCR lifecycle and disposition, 5-Why/Ishikawa/fault-tree/8D root cause analysis, CAPA systems, SPC interpretation, AQL sampling, and supplier quality audits. Use when investigating non-co","files":["SKILL.md"]},{"name":"quantized-export","description":"Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.","files":["SKILL.md","references/export-commands.md"]},{"name":"quantizing-models-bitsandbytes","description":"Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.","files":["SKILL.md","references/memory-optimization.md","references/qlora-training.md","references/quantization-formats.md"]},{"name":"quarkus-patterns","description":"Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures. Use when building or reviewing a Quarkus service, especially with Camel messaging or Pa","files":["SKILL.md"]},{"name":"quarkus-security","description":"Quarkus security implementation patterns: JWT and OIDC authentication, @RolesAllowed RBAC and SecurityIdentity checks, Bean Validation and custom validators, parameterized Panache queries, BCrypt password hashing, CORS and security headers, rate limiting, audit logging, Vault or environment-variable","files":["SKILL.md"]},{"name":"quarkus-tdd","description":"Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services.","files":["SKILL.md"]},{"name":"quarkus-verification","description":"Verification loop for Quarkus projects: build, static analysis (Checkstyle, PMD, SpotBugs), tests with JaCoCo coverage, OWASP dependency and container security scans, GraalVM native compilation, health checks, and config validation. Use when verifying a Quarkus service before a PR, after major refac","files":["SKILL.md"]},{"name":"quasi-coder","description":"Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or ","files":["SKILL.md"]},{"name":"querying-aws-cloudwatch","description":"Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS audit logs, Verified Access logs, SES logs, VPC Lattice logs, Step Functions logs, NLB access logs, and ","files":["SKILL.md"]},{"name":"querying-aws-redshift","description":"Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as","files":["SKILL.md","references/example-queries.md","references/permissions-setup.md","references/security.md"]},{"name":"querying-aws-s3","description":"Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations, and analyzes storage metrics using S3 Metadata system tables (journal, inventory, annotation) and S3 Storage Lens tables via Athena SQL. Applies when counting objects, finding recent uploads or deletions","files":["SKILL.md"]},{"name":"querying-aws-sagemaker-catalog","description":"Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. Applies when querying catalog inventory, finding assets without de","files":["SKILL.md"]},{"name":"querying-data-lake","description":"Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific da","files":["SKILL.md","references/query-patterns.md","references/workgroup-selection.md"]},{"name":"querying-the-dbt-information-schema","description":"Use when answering questions about a dbt v2 project's own metadata — which models, sources, tests, columns, configs, tags, packages or lineage exist, what is untested or undocumented, what depends on what, how long models took in the last run — or when using `dbt show --info`, `{{ info_schema() }}`,","files":["SKILL.md","references/view-columns.md"]},{"name":"qutip","description":"Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.","files":["SKILL.md","references/advanced.md","references/analysis.md","references/core_concepts.md","references/time_evolution.md","references/visualization.md","scripts/_common.py","scripts/convergence_sweep.py","scripts/qobj_model_validator.py","scripts/result_audit.py","scripts/solver_config_planner.py","scripts/steady_state_spectrum_planner.py","scripts/two_level_simulation.py"]},{"name":"r8-analyzer","description":"Analyzes Android build files and R8 keep rules to identify redundancies,","files":["SKILL.md","references/CONFIGURATION-ANALYZER.md","references/CONFIGURATION.md","references/KEEP-RULES-IMPACT-HIERARCHY.md","references/REDUNDANT-RULES.md","references/REFLECTION-GUIDE.md","references/REPORT_FORMAT.md","references/android/topic/performance/app-optimization/enable-app-optimization.md","references/android/training/testing/other-components/ui-automator.md"]},{"name":"radar-automation","description":"Automate Radar tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"raffle-winner-picker","description":"Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.","files":["SKILL.md"]},{"name":"rafflys-automation","description":"Automate Rafflys tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rag-architect","description":"Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications ","files":["SKILL.md","references/chunking-strategies.md","references/embedding-models.md","references/rag-evaluation.md","references/retrieval-optimization.md","references/vector-databases.md"]},{"name":"rag-eval","description":"Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.","files":["SKILL.md","BENCHMARK.md","eval/h100.json","eval/nvidia_hosted.json","references/benchmark-execution.md","references/dataset-and-conversion.md","references/evaluate-rag-cli.md","references/result-analysis.md","skill-card.md"]},{"name":"rag-implementation","description":"Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.","files":["SKILL.md","references/details.md"]},{"name":"rag-infrastructure","description":"Build and operate Retrieval-Augmented Generation (RAG) infrastructure with vector stores, embedding pipelines, and hybrid search. Covers ingestion, chunking strategies, reranking, and production deployment patterns.","files":["SKILL.md"]},{"name":"rag-observability-evals","description":"Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.","files":["SKILL.md"]},{"name":"rag-perf","description":"Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).","files":["SKILL.md","BENCHMARK.md","eval/h100.json","eval/nvidia_hosted.json","references/config-schema.md","references/output-and-analysis.md","references/synthetic-generation.md","skill-card.md"]},{"name":"ragic-automation","description":"Automate Ragic tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rails-expert","description":"Rails 7+ specialist that optimizes Active Record queries with includes/eager_load, implements Turbo Frames and Turbo Streams for partial page updates, configures Action Cable for WebSocket connections, sets up Sidekiq workers for background job processing, and writes comprehensive RSpec test suites.","files":["SKILL.md","references/active-record.md","references/api-development.md","references/background-jobs.md","references/hotwire-turbo.md","references/rspec-testing.md"]},{"name":"rails-patterns","description":"Ruby on Rails framework patterns for Rails 7.1+ and 8.x apps. Covers the directory contract, skinny controllers with service objects, form objects, query objects, idiomatic ActiveRecord, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use when building or reviewing Rails apps, ","files":["SKILL.md"]},{"name":"raisely-automation","description":"Automate Raisely tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ralphinho-rfc-pipeline","description":"Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single ag","files":["SKILL.md"]},{"name":"ralplan","description":"Consensus planning entrypoint that auto-gates vague ralph/autopilot/team requests before execution","files":["SKILL.md"]},{"name":"ravenseotools-automation","description":"Automate Ravenseotools tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ray-data","description":"Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipe","files":["SKILL.md","references/integration.md","references/transformations.md"]},{"name":"ray-train","description":"Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter swe","files":["SKILL.md","references/multi-node.md"]},{"name":"rdkit","description":"Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control,","files":["SKILL.md","references/api_reference.md","references/core_capabilities.md","references/descriptors_reference.md","references/review.md","references/smarts_patterns.md","references/workflows_and_best_practices.md","scripts/_common.py","scripts/molecular_properties.py","scripts/similarity_search.py","scripts/substructure_filter.py"]},{"name":"rds-oss","description":"Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation, and Blue/Green deployments. Handles any RDS MySQL, MariaDB, or PostgreSQL question, including create a production-ready RDS MySQL instance, provision ","files":["SKILL.md","references/bluegreen-advisor-workflow.md","references/bluegreen-ddl-mysql.md","references/bluegreen-ddl-postgresql.md","references/commitment-basics.md","references/commitment-pricing-workflow.md","references/commitment-scenarios.md","references/proxy-advisor-workflow.md","references/proxy-pinning-mysql.md","references/proxy-pinning-postgresql.md","references/upgrade-post-checklist.md","references/upgrade-pre-checklist.md","references/upgrade-prechecks-mysql.md","references/upgrade-prechecks-postgresql.md","references/upgrade-query-load-mysql.md","references/upgrade-query-load-postgresql.md","references/upgrade-workflow.md","references/verify-dependencies.md","scripts/rds_commitment_pricing_analyzer.py"]},{"name":"re-amaze-automation","description":"Automate Re Amaze tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"react-audit-grep-patterns","description":"Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade. Use this skill whenever running a migration audit - for both the react18-auditor and react19-auditor agents. Contains every grep pattern needed to find deprecated APIs, r","files":["SKILL.md","references/dep-scans.md","references/react18-scans.md","references/react19-scans.md","references/test-scans.md"]},{"name":"react-component-patterns","description":"Build modern React component architecture with composition patterns. Use when designing reusable React components, applying composition patterns, or structuring component hierarchies.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/patterns.md"]},{"name":"react-component-performance","description":"Analyze and optimize React component performance issues (slow renders, re-render thrash, laggy lists, expensive computations). Use when asked to profile or improve a React component, reduce re-renders, or speed up UI updates in React apps.","files":["SKILL.md","agents/openai.yaml","references/examples.md"]},{"name":"react-composition-patterns","description":"React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture.","files":["SKILL.md","AGENTS.md","metadata.json","rules/_sections.md","rules/_template.md","rules/architecture-avoid-boolean-props.md","rules/architecture-compound-components.md","rules/patterns-children-over-render-props.md","rules/patterns-explicit-variants.md","rules/state-context-interface.md","rules/state-decouple-implementation.md","rules/state-lift-state.md"]},{"name":"react-container-presentation-component","description":"Create a React component using the Container/Presentation pattern in src/components by asking for the component name and type (ui or features), then scaffold files that follow this repository's TypeScript, Storybook, and SCSS conventions. Use when the user explicitly asks for a Container/Presentatio","files":["SKILL.md","references/component-architecture.md","references/typescript-and-scss-rules.md"]},{"name":"react-email","description":"Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transact","files":["SKILL.md","references/COMPONENTS.md","references/EDITOR.md","references/I18N.md","references/PATTERNS.md","references/SENDING.md","references/STYLING.md"]},{"name":"react-expert","description":"Use when building React 18+ applications in .jsx or .tsx files, Next.js App Router projects, or create-react-app setups. Creates components, implements custom hooks, debugs rendering issues, migrates class components to functional, and implements state management. Invoke for Server Components, Suspe","files":["SKILL.md","references/hooks-patterns.md","references/migration-class-to-modern.md","references/performance.md","references/react-19-features.md","references/server-components.md","references/state-management.md","references/testing-react.md"]},{"name":"react-flow-node-ts","description":"Create React Flow node components with TypeScript types, handles, and Zustand integration. Use when building custom nodes for React Flow canvas, creating visual workflow editors, or implementing node-based UI components.","files":["SKILL.md","assets/types.template.ts"]},{"name":"react-hook-form-zod","description":"Type-safe React forms with React Hook Form and Zod validation. Use for form schemas, field arrays, multi-step forms, or encountering validation errors, resolver issues, nested field problems.","files":["SKILL.md","references/accessibility.md","references/error-handling.md","references/links-to-official-docs.md","references/performance-optimization.md","references/rhf-api-reference.md","references/shadcn-integration.md","references/top-errors.md","references/zod-schemas-guide.md","scripts/check-versions.sh","templates/package.json"]},{"name":"react-hooks","description":"Write React hooks with clean effect boundaries and measured memoization. Use when working with `useEffect`, custom hooks, refs, transitions, or hook dependency problems in React.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"react-modernization","description":"Upgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.","files":["SKILL.md","references/details.md"]},{"name":"react-native-architecture","description":"Structure React Native projects with feature-first organization and separation of concerns. Use when structuring a React Native project or applying clean architecture patterns.","files":["SKILL.md","evals/evals.json","references/folder-structure.md"]},{"name":"react-native-brownfield-migration","description":"Implements an accepted incremental brownfield migration from native iOS or Android to React Native or Expo using @callstack/react-native-brownfield. Use after the brownfield path has been selected, when setting up the integration, packaging XCFramework or AAR artifacts, or adding React Native surfac","files":["SKILL.md","agents/openai.yaml","references/bare-android-aar-generation.md","references/bare-android-native-integration.md","references/bare-ios-native-integration.md","references/bare-ios-xcframework-generation.md","references/bare-quick-start.md","references/cli-and-config.md","references/expo-android-integration.md","references/expo-create-app.md","references/expo-ios-integration.md","references/expo-quick-start.md","references/quick-start.md","references/runtime-api.md"]},{"name":"react-native-components","description":"Build modern React Native components using function components and composition. Use when building or refactoring React Native function components and composable UI.","files":["SKILL.md","evals/evals.json","references/patterns.md"]},{"name":"react-native-design","description":"Master React Native styling, navigation, and Reanimated animations for cross-platform mobile development. Use when building React Native apps, implementing navigation patterns, or creating performant animations.","files":["SKILL.md","references/details.md","references/navigation-patterns.md","references/reanimated-patterns.md","references/styling-patterns.md"]},{"name":"react-native-dls","description":"Enforce design token usage in React Native. Use when enforcing a design system, preventing hardcoded styles, or implementing theme tokens in React Native.","files":["SKILL.md","evals/evals.json","references/usage.md"]},{"name":"react-native-expert","description":"Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. 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Use when implementing React Navigation stacks, tabs, or deep linking in React Native.","files":["SKILL.md","evals/evals.json","references/deep-linking.md"]},{"name":"react-native-notifications","description":"Push notifications for React Native using Firebase or Expo Notifications. Use when integrating push notifications with Firebase or Expo in React Native.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"react-native-patterns","description":"React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, nav","files":["SKILL.md"]},{"name":"react-native-performance","description":"Optimize React Native rendering for smooth 60fps mobile experiences. Use when optimizing React Native app performance, reducing re-renders, or fixing frame drops.","files":["SKILL.md","evals/evals.json","references/optimization-guide.md"]},{"name":"react-native-platform-specific","description":"Resolve iOS and Android differences using Platform API and native modules in React Native. Use when platform branching or native-module integration is the primary task; defer cross-platform feature implementation such as push notifications.","files":["SKILL.md","evals/evals.json","references/native-modules.md"]},{"name":"react-native-state-management","description":"Implement local and global state with Context, Zustand, and Redux Toolkit in React Native. Use when choosing or implementing state management in React Native with Context, Zustand, or Redux.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"react-native-styling","description":"Style React Native apps with StyleSheet API, Flexbox, theming, and responsive design. Use when implementing React Native styles, theming, Flexbox layouts, or responsive design.","files":["SKILL.md","evals/evals.json","references/theming.md"]},{"name":"react-native-testing","description":"Write tests using React Native Testing Library (RNTL) v13 and v14 (`@testing-library/react-native`). Use when writing, reviewing, or fixing React Native component tests. Covers: render, screen, queries (getBy/getAllBy/queryBy/findBy), Jest matchers, userEvent, fireEvent, waitFor, and async patterns.","files":["SKILL.md","references/anti-patterns.md","references/api-reference-v13.md","references/api-reference-v14.md"]},{"name":"react-native-tv-best-practices","description":"Reviews React Native TV apps for focus/D-pad navigation, 10-foot UI layout, TV playback/DRM integration, low-memory TV performance, and TV accessibility. Use when building, debugging, or reviewing react-native-tvos, Expo TV, Amazon Vega/Kepler, or React Native web TV targets where the issue depends ","files":["SKILL.md","agents/openai.yaml","references/a11y-checklist.md","references/a11y-implementation.md","references/a11y-overview.md","references/design-10foot.md","references/design-color.md","references/design-layout.md","references/design-typography.md","references/focus-management.md","references/focus-performance.md","references/nav-directional.md","references/nav-keyboard.md","references/nav-patterns.md","references/perf-animations.md","references/perf-lists.md","references/perf-memory.md","references/perf-network.md","references/perf-overview.md","references/release-cicd.md","references/setup-architecture.md","references/setup-cross-platform.md","references/setup-getting-started.md","references/test-e2e.md","references/test-javascript.md","references/test-strategy.md","references/video-debugging.md","references/video-players.md","references/video-streaming.md"]},{"name":"react-navigation","description":"Provides React Navigation UI patterns for stacks, tabs, drawers etc. Use when building navigation UIs with React Navigation, configuring headers, bottom sheets or handling safe areas and insets.","files":["SKILL.md","agents/openai.yaml","references/bottom-tabs.md","references/drawers.md","references/form-sheet.md","references/header.md","references/material-top-tabs.md","references/native-bottom-tabs.md","references/safe-areas.md","references/stacks.md"]},{"name":"react-patterns","description":"React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.","files":["SKILL.md"]},{"name":"react-performance","description":"React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, adv","files":["SKILL.md"]},{"name":"react-query-classic-migration","description":"Migrate from @trpc/react-query (classic) to @trpc/tanstack-react-query. Run npx @trpc/upgrade CLI for automated codemod. Manually migrate remaining patterns: hook-based to options-factory, utils.invalidate to queryClient.invalidateQueries with queryFilter, provider changes.","files":["SKILL.md"]},{"name":"react-query-setup","description":"Set up @trpc/tanstack-react-query with createTRPCContext(), TRPCProvider, useTRPC() hook, queryOptions/mutationOptions factories, query invalidation via queryClient.invalidateQueries with queryFilter, and type inference with inferInput/inferOutput.","files":["SKILL.md"]},{"name":"react-security","description":"Prevent XSS, secure auth flows, and harden React client-side applications. Use when preventing XSS, securing auth flows, or auditing third-party dependencies in React.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"react-state-management","description":"Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.","files":["SKILL.md","references/details.md"]},{"name":"react-testing","description":"Test React components with RTL and Jest/Vitest. Use when writing React component tests with React Testing Library, Jest, or Vitest.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"react-typescript","description":"Type React components and hooks with TypeScript patterns. Use when typing React props, hooks, event handlers, or component generics in TypeScript.","files":["SKILL.md","evals/evals.json","references/example.md"]},{"name":"react-vite-dashboard","description":"Convert Stitch designs into production React + Vite dashboards with TanStack Query, accessible tokens from DESIGN.md, and Web3-ready patterns (ethers/viem).","files":["SKILL.md","README.md"]},{"name":"react18-batching-patterns","description":"Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it befor","files":["SKILL.md","references/batching-categories.md","references/flushSync-guide.md"]},{"name":"react18-dep-compatibility","description":"React 18.3.1 and React 19 dependency compatibility matrix.","files":["SKILL.md","references/apollo-details.md","references/router-migration.md"]},{"name":"react18-enzyme-to-rtl","description":"Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test fil","files":["SKILL.md","references/async-patterns.md","references/enzyme-api-map.md"]},{"name":"react18-legacy-context","description":"Provides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consume","files":["SKILL.md","references/context-file-template.md","references/multi-context.md","references/single-context.md"]},{"name":"react18-lifecycle-patterns","description":"Provides exact before/after migration patterns for the three unsafe class component lifecycle methods - componentWillMount, componentWillReceiveProps, and componentWillUpdate - targeting React 18.3.1. Use this skill whenever a class component needs its lifecycle methods migrated, when deciding betwe","files":["SKILL.md","references/componentWillMount.md","references/componentWillReceiveProps.md","references/componentWillUpdate.md"]},{"name":"react18-string-refs","description":"Provides exact migration patterns for React string refs (ref=\"name\" + this.refs.name) to React.createRef() in class components. Use this skill whenever migrating string ref usage - including single element refs, multiple refs in a component, refs in lists, callback refs, and refs passed to child com","files":["SKILL.md","references/patterns.md"]},{"name":"react19-concurrent-patterns","description":"Preserve React 18 concurrent patterns and adopt React 19 APIs (useTransition, useDeferredValue, Suspense, use(), useOptimistic, Actions) during migration.","files":["SKILL.md","references/react19-actions.md","references/react19-suspense.md","references/react19-use.md"]},{"name":"react19-source-patterns","description":"Reference for React 19 source-file migration patterns, including API changes, ref handling, and context updates.","files":["SKILL.md","references/api-migrations.md"]},{"name":"react19-test-patterns","description":"Provides before/after patterns for migrating test files to React 19 compatibility, including act() imports, Simulate removal, and StrictMode call count changes.","files":["SKILL.md"]},{"name":"reading-livekit-docs","description":"Looks up current LiveKit facts (API signatures, CLI flags, config options, model and provider support, SDK changelogs, pricing) from the docs instead of answering from memory. Use whenever a question touches LiveKit specifics: \"does LiveKit support X\", \"what changed in agents 1.8\", \"what are the arg","files":["SKILL.md"]},{"name":"readme-blueprint-generator","description":"Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding sta","files":["SKILL.md"]},{"name":"realphonevalidation-automation","description":"Automate Realphonevalidation tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"recallai-automation","description":"Automate Recallai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"receiving-code-review","description":"Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation","files":["SKILL.md"]},{"name":"recommendation-engine","description":"Build recommendation systems with collaborative filtering, matrix factorization, hybrid approaches. Use for product recommendations, personalization, or encountering cold start, sparsity, quality evaluation issues.","files":["SKILL.md","references/cold-start-strategies.md","references/collaborative-filtering-deep-dive.md","references/evaluation-metrics-implementation.md","references/matrix-factorization-methods.md"]},{"name":"recommendation-system","description":"Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.","files":["SKILL.md","references/ab-testing-framework.md","references/caching-strategies.md","references/monitoring-alerting.md","references/production-architecture.md"]},{"name":"reconciler-logic","description":"Implement reconcilers and watchers for grafana-app-sdk apps — write `TypedReconciler[*MyKind]` reconcile functions, apply generation-based skip patterns, do conflict-safe status updates via `resource.UpdateObject`, configure `BasicReconcileOptions` (namespace, label/field filters, finalizer manageme","files":["SKILL.md","references/informer-configuration.md","references/reconciler-patterns.md","references/registration.md","references/unmanaged-kinds.md","references/watchers.md"]},{"name":"recovery-controller-setup","description":"Configures AWS Application Recovery Controller (ARC) for operational resilience: routing controls with safety rules for cross-Region failover, and zonal shift / zonal autoshift for AZ-impairment recovery. Applies when setting up failover routing, configuring safety rules, enabling zonal shift, or co","files":["SKILL.md","references/arc-procedures.md","references/security-considerations.md"]},{"name":"recruitee-automation","description":"Automate Recruitee tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"recsys-pipeline-architect","description":"Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks \"the top K items for a (user, context)","files":["SKILL.md"]},{"name":"recursive-decision-ledger","description":"Run repeated rollouts (\"Prime Gauss\" style recursive prompting) while keeping an append-only decision ledger of trials, marks, coherence checks, and promotion gates, so recursive confidence never auto-approves live trading, deploy, or destructive actions. Use when the user asks for repeated rollouts","files":["SKILL.md"]},{"name":"redis-clustering","description":"Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key","files":["SKILL.md","references/hash-tags.md","references/read-replicas.md"]},{"name":"redis-connections","description":"Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for","files":["SKILL.md","references/blocking.md","references/client-cache.md","references/pipelining.md","references/pooling.md","references/timeouts.md"]},{"name":"redis-core","description":"Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, member","files":["SKILL.md","references/choose-data-structure.md","references/key-naming.md"]},{"name":"redis-observability","description":"Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up mon","files":["SKILL.md","references/commands.md","references/metrics.md"]},{"name":"redis-patterns","description":"Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.","files":["SKILL.md"]},{"name":"redis-search","description":"Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector rank","files":["SKILL.md","references/aggregate-cursors.md","references/aggregate-pipeline.md","references/algorithm-choice.md","references/clients/java-jedis.md","references/clients/python-redis-py.md","references/clients/python-redisvl.md","references/command-selection.md","references/debugging.md","references/dialect.md","references/field-types.md","references/ft-create-options.md","references/hybrid-search.md","references/index-creation.md","references/index-management.md","references/json-indexing.md","references/query-optimization.md","references/query-syntax.md","references/rag-pattern.md","references/result-shaping.md","references/search-syntax-primitives.md","references/text-tokenization.md","references/vector-query.md"]},{"name":"redis-security","description":"Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an ap","files":["SKILL.md","references/acls.md","references/auth.md","references/network.md"]},{"name":"redis-semantic-cache","description":"Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and late","files":["SKILL.md","references/best-practices.md","references/langcache-usage.md"]},{"name":"redshift-guide","description":"Amazon Redshift is NOT PostgreSQL — corrects PostgreSQL-derived LLM mistakes; covers Redshift-specific SQL, DDL, COPY/UNLOAD, system views, metadata discovery, and operational patterns. Applies ONLY when the task is about Redshift itself (cluster, Serverless workgroup, or Redshift SQL). Pushes back ","files":["SKILL.md","references/redshift-sql-ddl-copy.md","references/redshift-sql-extensions-semantics.md","references/redshift-sql-functions-types.md","references/redshift-sql-materialized-views.md","references/redshift-sql-metadata.md","references/redshift-sql-recipes-load-api.md","references/redshift-sql-syntax.md"]},{"name":"refactor","description":"Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","files":["SKILL.md"]},{"name":"refactor-method-complexity-reduce","description":"Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.","files":["SKILL.md"]},{"name":"refactor-module","description":"Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.","files":["SKILL.md"]},{"name":"refactor-plan","description":"Create a concrete plan before starting a multi-file refactor. Use when the user asks to plan, sequence, scope, or safely execute a refactor across multiple files; always investigate first, output the plan, and wait for confirmation before making code changes.","files":["SKILL.md"]},{"name":"refiner-automation","description":"Automate Refiner tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"refit","description":"Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is written without user appro","files":["SKILL.md"]},{"name":"regex-vs-llm-structured-text","description":"Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and ","files":["SKILL.md"]},{"name":"regression-sweep","description":"Re-validates every previously-confirmed finding against its current target — detects drift (patched, mitigated, re-introduced). Cron-driven weekly sweep across the org's validated finding tree.","files":["SKILL.md","reference/diff-normalization.md"]},{"name":"release","description":"Generic release assistant — analyzes repo release rules, caches them in .omc/RELEASE_RULE.md, then guides the release","files":["SKILL.md"]},{"name":"relion","description":"Validates and executes RELION single-particle cryo-EM refinement and half-map postprocessing. Supports STAR optics/acquisition checks, particle-stack consistency, gold-standard half sets, soft-mask validation, diagnostic Fourier shell correlation, and restart guidance.","files":["SKILL.md","references/acquisition-and-restarts.md","references/runtime-and-validation.md","scripts/spa_workflow.py"]},{"name":"relsa-severity-assessment","description":"Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinic","files":["SKILL.md","references/forecasting.md","references/relsa-method.md","references/thresholds-and-zones.md","scripts/_common.py","scripts/forecast_relsa.py","scripts/kde_thresholds.py","scripts/relsa_score.py"]},{"name":"remarkety-automation","description":"Automate Remarkety tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"remember","description":"Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.","files":["SKILL.md"]},{"name":"remember-interactive-programming","description":"A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow ","files":["SKILL.md"]},{"name":"remote-retrieval-automation","description":"Automate Remote Retrieval tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"remotion","description":"Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays","files":["SKILL.md","README.md","examples/screens.json","resources/composition-checklist.md","scripts/download-stitch-asset.sh"]},{"name":"remotion-captions","description":"Transcribing, displaying and animating captions","files":["SKILL.md","agents/openai.yaml","display-captions.md","import-srt-captions.md","transcribe-captions.md"]},{"name":"remotion-create","description":"Create a new Remotion video","files":["SKILL.md","agents/openai.yaml","tailwind.md","video-layout.md"]},{"name":"remotion-docs","description":"Search Remotion documentation","files":["SKILL.md","agents/openai.yaml"]},{"name":"remotion-interactivity","description":"Structure Remotion markup for interactivity","files":["SKILL.md","agents/openai.yaml","inline-effects.md"]},{"name":"remotion-multimedia","description":"Interacting with Mediabunny","files":["SKILL.md","agents/openai.yaml","get-audio-duration.md","get-video-dimensions.md","get-video-duration.md"]},{"name":"remotion-render","description":"Export a Remotion video","files":["SKILL.md","agents/openai.yaml","transparent-videos.md"]},{"name":"remotion-saas","description":"Build an app with Remotion","files":["SKILL.md","agents/openai.yaml","framework.md","player.md","rendering.md"]},{"name":"remotion-studio","description":"Preview a Remotion video","files":["SKILL.md","agents/openai.yaml"]},{"name":"remotion-upgrade","description":"Upgrade Remotion, and related packages","files":["SKILL.md","agents/openai.yaml"]},{"name":"remotion-video-creation","description":"Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more. Use when building video in React with Remotion — animations, audio, captions, charts, or transitions.","files":["SKILL.md","rules/3d.md","rules/animations.md","rules/assets.md","rules/audio.md","rules/calculate-metadata.md","rules/can-decode.md","rules/charts.md","rules/compositions.md","rules/display-captions.md","rules/extract-frames.md","rules/fonts.md","rules/get-audio-duration.md","rules/get-video-dimensions.md","rules/get-video-duration.md","rules/gifs.md","rules/images.md","rules/import-srt-captions.md","rules/lottie.md","rules/measuring-dom-nodes.md","rules/measuring-text.md","rules/sequencing.md","rules/tailwind.md","rules/text-animations.md","rules/timing.md","rules/transcribe-captions.md","rules/transitions.md","rules/trimming.md","rules/videos.md"]},{"name":"remove-bg-automation","description":"Automate Remove Bg tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"render-background-workers","description":"Sets up and configures background workers on Render for queue-based job processing. Use when the user needs to process async jobs, consume from a queue, run Celery/Sidekiq/BullMQ/Asynq/Oban workers, handle graceful shutdown with SIGTERM, wire a worker to Key Value, or choose between workers and cron","files":["SKILL.md","references/deployments.md","references/graceful-shutdown.md","references/private-networking.md","references/queue-framework-setup.md","references/service-types.md"]},{"name":"render-blueprints","description":"Authors and validates render.yaml Blueprints for Render infrastructure. Use when the user needs to write or edit a render.yaml, wire services together with fromDatabase/fromService/fromGroup, set up projects and environments for multi-service apps, configure preview environments, validate against th","files":["SKILL.md","references/blueprints.md","references/common-mistakes.md","references/compute-plans.md","references/environment-variables.md","references/field-reference.md","references/persistent-disks.md","references/preview-environments.md","references/private-networking.md","references/service-types.md","references/wiring-patterns.md"]},{"name":"render-cron-jobs","description":"Configures and troubleshoots scheduled tasks on Render using cron job services. Use when the user needs to run something on a schedule, write a cron expression, set up a periodic job, migrate from Heroku Scheduler, choose between cron jobs and background workers, or fix a cron that isn't firing. Tri","files":["SKILL.md","references/cron-patterns.md","references/migration-from-scheduler.md","references/private-networking.md","references/service-types.md"]},{"name":"render-debug","description":"Debug failed Render deployments by analyzing logs, metrics, and database state. Identifies errors (missing env vars, port binding, OOM, etc.) and suggests fixes. Use when deployments fail, services won't start, or users mention errors, logs, or debugging.","files":["SKILL.md","references/compute-plans.md","references/database-debugging.md","references/deployments.md","references/environment-variables.md","references/error-patterns.md","references/log-analysis.md","references/metrics-debugging.md","references/quick-workflows.md","references/render-access.md","references/troubleshooting.md"]},{"name":"render-deploy","description":"Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.","files":["SKILL.md","assets/docker.yaml","assets/go-api.yaml","assets/nextjs-postgres.yaml","assets/node-express.yaml","assets/python-django.yaml","assets/static-site.yaml","references/blueprints.md","references/codebase-analysis.md","references/compute-plans.md","references/configuration-guide.md","references/deployment-details.md","references/deployments.md","references/direct-creation.md","references/environment-variables.md","references/error-patterns.md","references/post-deploy-checks.md","references/private-networking.md","references/render-access.md","references/runtimes.md","references/service-types.md","references/troubleshooting-basics.md"]},{"name":"render-disks","description":"Attaches and manages persistent disks on Render services—mount paths, sizing, snapshots, file transfers, and single-instance constraints. Use when the user needs persistent storage, file uploads, a custom database on disk, CMS media storage, or needs to understand why their service can't scale horiz","files":["SKILL.md","references/persistent-disks.md"]},{"name":"render-docker","description":"Builds and deploys Docker containers on Render—Dockerfiles, multi-stage builds, Blueprint Docker fields, private registries, layer caching, and platform constraints. Use when the user mentions Docker, Dockerfile, container images, multi-stage builds, container registry, GHCR, ECR, BuildKit, dockerCo","files":["SKILL.md","references/deployments.md","references/dockerfile-patterns.md","references/optimization-guide.md","references/registry-setup.md"]},{"name":"render-env-vars","description":"Configures environment variables, secrets, and env groups on Render. Use when the user needs to set env vars, wire secrets between services, create env groups, use generateValue, set sync: false, or troubleshoot missing or incorrect environment variable values in Blueprints or the Dashboard.","files":["SKILL.md","references/environment-variables.md","references/platform-variables.md","references/wiring-reference.md"]},{"name":"render-keyvalue","description":"Provisions and configures Render Key Value (Redis-compatible Valkey 8) instances for caching, session storage, and job queues. Use when the user needs Key Value, uses Redis or Valkey, or needs a cache, session store, or job queue backend, or needs to configure maxmemory policy, ipAllowList, connecti","files":["SKILL.md","references/compute-plans.md","references/connection-examples.md","references/private-networking.md","references/troubleshooting.md"]},{"name":"render-mcp","description":"Connects and configures the Render MCP server for AI coding tools—setup per tool (Cursor, Claude Code, Codex), authentication, workspace selection, capability discovery, and troubleshooting. Use when MCP is not configured, list_services() fails, the user asks about Render MCP setup, or an action ski","files":["SKILL.md","references/render-access.md","references/troubleshooting.md"]},{"name":"render-monitor","description":"Monitor Render services in real-time. Check health, performance metrics, logs, and resource usage. Use when users want to check service status, view metrics, monitor performance, or verify deployments are healthy.","files":["SKILL.md","references/compute-plans.md","references/deployments.md","references/metrics-guide.md","references/render-access.md"]},{"name":"render-networking","description":"Connects Render services over the private network—internal DNS, service discovery, and cross-service communication. Use when the user needs to wire services together, resolve internal hostnames, troubleshoot connectivity between services, configure environment isolation, or understand which services","files":["SKILL.md","references/communication-patterns.md","references/private-networking.md"]},{"name":"render-postgres","description":"Sets up and optimizes Managed PostgreSQL on Render—connection strings (internal vs external), creation constraints, storage autoscaling, connection limits, high availability, read replicas, backups, and MCP inspection. Use when the user mentions Postgres, PostgreSQL, Render database, connection stri","files":["SKILL.md","references/backup-and-recovery.md","references/compute-plans.md","references/connection-guide.md","references/performance-tuning.md","references/private-networking.md"]},{"name":"render-private-services","description":"Configures Render private services—internal-only apps that accept traffic exclusively from other Render services over the private network. Use when the user needs an internal API, microservice, gRPC server, sidecar, or any service that should not be publicly accessible. Also use when choosing betwee","files":["SKILL.md","references/patterns.md","references/persistent-disks.md","references/private-networking.md","references/service-types.md"]},{"name":"render-scaling","description":"Scales Render services—configures autoscaling targets, chooses instance compute plans, sets manual instance counts, and optimizes cost. Use when the user needs to handle more traffic, set up autoscaling, pick the right compute plan, reduce costs, or troubleshoot scaling behavior like slow scale-down","files":["SKILL.md","references/autoscaling-guide.md","references/compute-plans.md","references/persistent-disks.md"]},{"name":"render-static-sites","description":"Deploys and configures static sites on Render's global CDN—build commands, publish paths, SPA routing, redirects, custom headers, and PR previews. Use when the user needs to deploy a static site, set up a React/Vue/Hugo/Gatsby frontend, configure SPA fallback routing, add redirect rules, customize r","files":["SKILL.md","references/framework-configs.md","references/routing-and-headers.md","references/service-types.md"]},{"name":"render-web-services","description":"Configures Render web services—port binding, TLS, health checks, custom domains, auto-deploy, PR previews, persistent disks, and deploy lifecycle. Use when the user needs to set up a web service, fix health check failures, add a custom domain, configure zero-downtime deploys, or troubleshoot port bi","files":["SKILL.md","references/custom-domains.md","references/deployments.md","references/health-check-patterns.md","references/persistent-disks.md","references/private-networking.md"]},{"name":"renderform-automation","description":"Automate Renderform tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"repairshopr-automation","description":"Automate Repairshopr tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"reply-automation","description":"Automate Reply tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"reply-io-automation","description":"Automate Reply IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"repo-scan","description":"Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit. Use when repo-scan must be installed before running its cross-stack source-code asset audit; this ECC pointer does not perform the audit itself.","files":["SKILL.md"]},{"name":"repo-story-time","description":"Generate a comprehensive repository summary and narrative story from commit history","files":["SKILL.md"]},{"name":"reqnroll-skill","description":"Generates production-grade Reqnroll BDD automation scripts for web (Selenium 3/4) and mobile (Appium 2) testing in C#. Supports parallel NUnit execution locally and on TestMu AI cloud. Use when the user asks to write BDD tests, automate with Reqnroll, create .feature files, write Gherkin scenarios, ","files":["SKILL.md","reference/appium-patterns.md","reference/cloud-integration.md","reference/playbook.md","reference/selenium-3-patterns.md","reference/selenium-4-patterns.md"]},{"name":"requesting-code-review","description":"Use when completing tasks, implementing major features, or before merging to verify work meets requirements","files":["SKILL.md","code-reviewer.md"]},{"name":"research","description":"Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.","files":["SKILL.md","agents/openai.yaml"]},{"name":"research-grants","description":"Supports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal crit","files":["SKILL.md","assets/budget_justification_template.md","assets/nih_specific_aims_template.md","assets/nsf_project_summary_template.md","references/README.md","references/broader_impacts.md","references/core_components.md","references/darpa_guidelines.md","references/doe_guidelines.md","references/nih_guidelines.md","references/nsf_guidelines.md","references/nstc_guidelines.md","references/proposal_types_and_resubmission.md","references/review_criteria.md","references/specific_aims_guide.md","references/writing_principles.md"]},{"name":"research-lookup","description":"Compiles current scholarly evidence for a scientific manuscript or research brief when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source retrieval, Parallel","files":["SKILL.md","README.md","references/api-contracts.md","scripts/manuscript_packet.py","scripts/research_lookup.py"]},{"name":"research-ops","description":"Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.","files":["SKILL.md"]},{"name":"resemble-detect","description":"Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","files":["SKILL.md","references/api-reference.md"]},{"name":"resend-automation","description":"Automate Resend tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"resend-cli","description":"Operate the Resend platform from the terminal — send emails (including React Email .tsx templates via --react-email), manage domains, contacts, broadcasts, templates, webhooks, API keys, logs, automations, and events via the `resend` CLI. Use when the user wants to run Resend commands in the shell, ","files":["SKILL.md","references/api-keys.md","references/auth.md","references/automations.md","references/broadcasts.md","references/careers.md","references/contact-properties.md","references/contacts.md","references/domains.md","references/emails.md","references/error-codes.md","references/logs.md","references/segments.md","references/suppressions.md","references/templates.md","references/topics.md","references/webhooks.md","references/workflows.md"]},{"name":"resilience-hub-failure-mode-assessment","description":"Runs and interprets AWS Resilience Hub v2 failure mode assessments. Covers starting assessments, understanding findings (severity, categories, recommendations), triaging by achievability, working with AI-generated service functions, and resolving findings. Applies when the user wants to run an asses","files":["SKILL.md","references/assessment-workflow.md"]},{"name":"resilience-hub-getting-started","description":"Sets up AWS Resilience Hub v2 from scratch: creates resilience policies with SLO targets, registers systems and user journeys, onboards services with input sources, and runs a first failure mode assessment. Applies when the user wants to get started with Resilience Hub v2, create a policy, onboard a","files":["SKILL.md","references/setup-procedure.md"]},{"name":"resilience-hub-multi-account","description":"Configures AWS Resilience Hub v2 for multi-account resilience management across an AWS Organization. Covers the per-service cross-account permission model, cross-account IAM roles, and centralized assessment from a single account. Applies when the user wants to set up org-wide resilience or assess w","files":["SKILL.md","references/multi-account-procedure.md"]},{"name":"resilience-program-design","description":"Designs a resilience program: how to structure and standardize resilience policies across an organization, team, or portfolio (tiered policy model with availability/RTO/RPO targets and DR approach selection), and how often to run resilience activities (operational cadence). Applies when the user ask","files":["SKILL.md"]},{"name":"respond-io-automation","description":"Automate Respond IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"responsive-design","description":"Implement modern responsive layouts using container queries, fluid typography, CSS Grid, and mobile-first breakpoint strategies. Use when building adaptive interfaces, implementing fluid layouts, or creating component-level responsive behavior.","files":["SKILL.md","references/breakpoint-strategies.md","references/container-queries.md","references/details.md","references/fluid-layouts.md"]},{"name":"responsive-web-design","description":"Builds adaptive web interfaces using Flexbox, CSS Grid, and media queries with a mobile-first approach. Use when creating multi-device layouts, implementing flexible UI systems, or ensuring cross-browser compatibility.","files":["SKILL.md"]},{"name":"rest-api-design","description":"Designs RESTful APIs with proper resource naming, HTTP methods, status codes, and response formats. Use when building new APIs, establishing API conventions, or designing developer-friendly interfaces.","files":["SKILL.md"]},{"name":"restore-credentials","description":"Provides knowledge and workflows to implement Android's Restore Credentials","files":["SKILL.md","references/android/guide/topics/manifest/application-element.md","references/android/identity/passkeys/create-passkeys.md","references/android/identity/passkeys/sign-in-with-passkeys.md"]},{"name":"resx-source-generator-migration","description":"Migrates a project that uses checked-in .designer.cs files behind .resx to using a source-generator instead","files":["SKILL.md"]},{"name":"retailed-automation","description":"Automate Retailed tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"retellai-automation","description":"Automate Retellai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"retently-automation","description":"Automate Retently tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"retrieving-developer-knowledge","description":"Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the De","files":["SKILL.md","references/api-fallback.md","references/mcp-usage.md","references/supported-domains.md"]},{"name":"retro","description":"Weekly engineering retrospective. (gstack)","files":["SKILL.md","sections/manifest.json","sections/report-format.md"]},{"name":"returns-reverse-logistics","description":"Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recogn","files":["SKILL.md"]},{"name":"rev-ai-automation","description":"Automate Rev AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"review-agent-setup","description":"Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.","files":["SKILL.md"]},{"name":"review-and-refactor","description":"Review and refactor code in your project according to defined instructions","files":["SKILL.md"]},{"name":"review-and-simplify-changes","description":"Review a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes. Use when the user asks to \\\"simplify code\\\", \\\"review changed code\\\", \\\"check for code reuse\\\", \\\"review code quality\\\", \\\"review efficiency\\\", ","files":["SKILL.md"]},{"name":"review-pr","description":"Reviews the current branch's changes against its base branch as a pull request: correctness of new and modified code, test coverage for it, and documentation accuracy. Use when asked to review a branch, a diff, or a pull request.","files":["SKILL.md"]},{"name":"review-swarm","description":"Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps. Use when the user asks for a review swarm, parallel review, diff review, regression rev","files":["SKILL.md","agents/openai.yaml"]},{"name":"review-walkthrough","description":"Generates an interactive HTML walkthrough for reviewing code changes. Use only when explicitly called.","files":["SKILL.md","agents/openai.yaml","scripts/pyproject.toml","scripts/render_walkthrough.py"]},{"name":"reviewing-oracle-to-postgres-migration","description":"Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning","files":["SKILL.md","references/REFERENCE.md","references/empty-strings-handling.md","references/no-data-found-exceptions.md","references/oracle-nvl-decode-functions.md","references/oracle-parentheses-from-clause.md","references/oracle-rownum-pagination.md","references/oracle-sysdate-sequences-dual.md","references/oracle-to-postgres-sorting.md","references/oracle-to-postgres-timestamp-timezone.md","references/oracle-to-postgres-to-char-numeric.md","references/oracle-to-postgres-type-coercion.md","references/postgres-concurrent-transactions.md","references/postgres-materialized-view-refresh.md","references/postgres-refcursor-handling.md","references/postgres-union-all-planner.md"]},{"name":"revolt-automation","description":"Automate Revolt tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rhino3d-scripts","description":"Authoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling tasks; build command macros; manipulate Rhino geometry, layers, blocks, or document objects; pick ob","files":["SKILL.md","references/macros-and-loading.md","references/rhinocommon-map.md","references/rhinoscriptsyntax-cheatsheet.md","references/vbscript-quirks.md"]},{"name":"rippling-automation","description":"Automate Rippling tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"risk-metrics-calculation","description":"Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.","files":["SKILL.md","references/details.md"]},{"name":"risk-prioritiser","description":"Risk-based prioritisation of confirmed attack paths. Combines exploit feasibility, technical CVSS severity, and asset business impact into a single ranked list driving remediation roadmaps.","files":["SKILL.md","reference/scoring-formula.md"]},{"name":"ritekit-automation","description":"Automate Ritekit tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rkvst-automation","description":"Automate Rkvst tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rocketlane-automation","description":"Automate Rocketlane tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"root-cause-tracing","description":"Systematically trace bugs backward through call stack to find original trigger. Use when errors occur deep in execution and you need to trace back to find the original trigger.","files":["SKILL.md"]},{"name":"rootly-automation","description":"Automate Rootly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"rosette-text-analytics-automation","description":"Automate Rosette Text Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"roslyn-analyzers","description":"Build, review, debug, package, and test Roslyn diagnostic analyzers, code fix providers, and incremental source generators. Use for DiagnosticAnalyzer, CodeFixProvider, IIncrementalGenerator, IOperation analysis, Microsoft.CodeAnalysis dependency pinning, Roslyn test harnesses, C#/VB tests, and anal","files":["SKILL.md"]},{"name":"roundup-setup","description":"Interactive onboarding that learns your communication style, audiences, and data sources to configure personalized status briefings. Paste in examples of updates you already write, answer a few questions, and roundup calibrates itself to your workflow.","files":["SKILL.md","references/config-template.md"]},{"name":"route4me-automation","description":"Automate Route4me tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"route53","description":"Configures Amazon Route 53 DNS: public and private records, traffic-steering routing policies, health checks, DNS Firewall, Route 53 Profiles, VPC Resolver (also known as Route 53 Resolver) for hybrid and Outposts networks, and Global Resolver. Applicable when the customer wants to point a hostname ","files":["SKILL.md","references/blocking-malicious-domains.md","references/centralizing-dns-firewall.md","references/configuring-failover-routing.md","references/configuring-route53-profiles.md","references/creating-a-public-dns-record.md","references/identifying-the-effective-dns-firewall-rule.md","references/resolving-private-dns-for-hybrid-networks.md","references/running-route53-resolver-on-outposts.md","references/setting-up-a-route53-health-check.md","references/setting-up-route53-global-resolver.md","references/splitting-traffic-with-weighted-routing.md"]},{"name":"routing-traffic-with-route53-and-cloudfront","description":"Configures Amazon Route 53 to route traffic to a CloudFront distribution using a custom domain. Use when setting up DNS alias records, alternate domain names (CNAMEs), ACM certificates for HTTPS, and IPv6 support for CloudFront.","files":["SKILL.md","references/route53-cloudfront-routing.md"]},{"name":"rowan","description":"Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflow","files":["SKILL.md","references/access_and_pricing.md","references/batch_and_webhooks.md","references/end_to_end_example.md","references/troubleshooting.md","references/workflow_catalog.md"]},{"name":"rspec-skill","description":"Generates RSpec tests in Ruby with describe/context/it blocks, matchers, let/before hooks, and mocking. Use when user mentions \"RSpec\", \"describe do\", \"expect().to\", \"Ruby test\". Triggers on: \"RSpec\", \"expect().to eq()\", \"describe do\", \"Ruby test\", \"spec file\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"rtvi-cv-scaffold-vss-service","description":"Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. The shipped scaffold script is a YOLO26 reference implementation (ONNX, labels, custom parser required). Use when building a new perception microservice repo, validating the VSS integration c","files":["SKILL.md","BENCHMARK.md","agents/openai.yaml","evals/evals.json","nvbase.json","references/integration-contract.md","references/vss-profile-integration.md","references/yolo26-deepstream.md","scripts/scaffold_rtvi_vss_service.py","skill-card.md"]},{"name":"rtx-remix-modding","description":"Mod or remaster a game with RTX Remix - open and edit projects, swap textures and models. Connect to the Remix Toolkit App via MCP. Not for non-Remix game interaction.","files":["SKILL.md","BENCHMARK.md","evals/EVAL.md","evals/evals.json","references/tool-mode.md","skill-card.md"]},{"name":"ruby-mcp-server-generator","description":"Generate a complete Model Context Protocol server project in Ruby using the official MCP Ruby SDK gem.","files":["SKILL.md"]},{"name":"ruff-recursive-fix","description":"Run Ruff checks with optional scope and rule overrides, apply safe and unsafe autofixes iteratively, review each change, and resolve remaining findings with targeted edits or user decisions.","files":["SKILL.md"]},{"name":"rules-distill","description":"Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files. Use when the same principle keeps recurring across skills and belongs in a rule file instead.","files":["SKILL.md","scripts/scan-rules.sh","scripts/scan-skills.sh"]},{"name":"run-acceptance-tests","description":"Guide for running acceptance tests for a Terraform provider. Use this when asked to run an acceptance test or to run a test with the prefix `TestAcc`, when a test fails with missing environment variables, or when diagnosing a failing or suspiciously passing acceptance test.","files":["SKILL.md"]},{"name":"run-models","description":"Run AI models on Replicate via predictions, webhooks, and streaming.","files":["SKILL.md"]},{"name":"runbook-creation","description":"Create operational runbooks and standard operating procedures. Document troubleshooting guides and recovery procedures. Use when documenting operational knowledge.","files":["SKILL.md"]},{"name":"running-dbt-commands","description":"Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running models, tests, builds, compiles, or show queries via dbt CLI. Use when unsure which dbt executable to use or how to format command parameters.","files":["SKILL.md"]},{"name":"running-livekit-simulations","description":"Runs LiveKit agent simulations and acts on the results. Use when the user says \"run my simulations\", \"regression test my agent before deploying\", \"run the scenarios\", \"use lk agent simulate\", \"did my agent pass\", \"why did this scenario fail\", \"run simulations in CI\", \"test the audio pipeline\", \"chec","files":["SKILL.md"]},{"name":"rust-async-patterns","description":"Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.","files":["SKILL.md","references/details.md"]},{"name":"rust-best-practices","description":"Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with","files":["SKILL.md","references/chapter_01.md","references/chapter_02.md","references/chapter_03.md","references/chapter_04.md","references/chapter_05.md","references/chapter_06.md","references/chapter_07.md","references/chapter_08.md","references/chapter_09.md"]},{"name":"rust-engineer","description":"Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, sol","files":["SKILL.md","references/async.md","references/error-handling.md","references/ownership.md","references/testing.md","references/traits.md"]},{"name":"rust-mcp-server-generator","description":"Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK","files":["SKILL.md"]},{"name":"rust-patterns","description":"Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications. Use when writing or reviewing Rust code and ownership, error handling, traits, or concurrency is in question.","files":["SKILL.md"]},{"name":"rust-review","description":"Performs comprehensive Rust security review for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes. Use when auditing Rust crates, services, or libraries — particularly those with `unsafe`, FFI, or concurrent co","files":["SKILL.md"]},{"name":"rust-testing","description":"Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage.","files":["SKILL.md"]},{"name":"ruzzy","description":"Sets up and runs Ruzzy, Trail of Bits' coverage-guided Ruby fuzzer and the only production-ready one for the language. Covers harness structure, fuzzing pure Ruby and the native C extensions in gems, and sanitizer builds. Use when fuzzing a Ruby library or gem, testing a Ruby C extension for memory ","files":["SKILL.md","agents/openai.yaml"]},{"name":"rwkv-architecture","description":"RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.","files":["SKILL.md","references/architecture-details.md","references/rwkv7.md","references/state-management.md"]},{"name":"safe-refactor","description":"Restructure code while preserving behavior. Use for extraction, consolidation, ownership moves, or cleanup where verification must bracket structural edits.","files":["SKILL.md","agents/openai.yaml"]},{"name":"safetyculture-automation","description":"Automate Safetyculture tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"saga-orchestration","description":"Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, ","files":["SKILL.md","references/advanced-patterns.md","references/details.md"]},{"name":"sage-automation","description":"Automate Sage tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"salesforce-apex-quality","description":"Apex code quality guardrails for Salesforce development. Enforces bulk-safety rules (no SOQL/DML in loops), sharing model requirements, CRUD/FLS security, SOQL injection prevention, PNB test coverage (Positive / Negative / Bulk), and modern Apex idioms. Use this skill when reviewing or generating Ap","files":["SKILL.md"]},{"name":"salesforce-component-standards","description":"Quality standards for Salesforce Lightning Web Components (LWC), Aura components, and Visualforce pages. Covers SLDS 2 compliance, accessibility (WCAG 2.1 AA), data access pattern selection, component communication rules, XSS prevention, CSRF enforcement, FLS/CRUD in AuraEnabled methods, view state ","files":["SKILL.md"]},{"name":"salesforce-developer","description":"Writes and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, implements triggers, batch jobs, platform events, and integrations on the Salesforce platform. Use when developing Salesforce applications, customizing CRM workflows, managing governor limits, bulk processing, or s","files":["SKILL.md","references/apex-development.md","references/deployment-devops.md","references/integration-patterns.md","references/lightning-web-components.md","references/soql-sosl.md"]},{"name":"salesforce-flow-design","description":"Salesforce Flow architecture decisions, flow type selection, bulk safety validation, and fault handling standards. Use this skill when designing or reviewing Record-Triggered, Screen, Autolaunched, Scheduled, or Platform Event flows to ensure correct type selection, no DML/Get Records in loops, prop","files":["SKILL.md"]},{"name":"salesforce-marketing-cloud-automation","description":"Automate Salesforce Marketing Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"salesforce-service-cloud-automation","description":"Automate Salesforce Service Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"salesmate-automation","description":"Automate Salesmate tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sandbox-migrate-to-next","description":"Migrate Cloudflare Sandbox apps from stable @cloudflare/sandbox to @cloudflare/sandbox@next (SDK 1.0 preview). Use sandbox-next for apps already on the preview.","files":["SKILL.md"]},{"name":"sandbox-next","description":"Build or maintain Cloudflare Sandbox apps on @cloudflare/sandbox@next (SDK 1.0 preview). Use sandbox-migrate-to-next when porting a stable app.","files":["SKILL.md","references/api-quick-ref.md","references/examples.md"]},{"name":"sandbox-stable","description":"Build or maintain Cloudflare Sandbox apps on the stable @cloudflare/sandbox package. Use sandbox-next for preview apps and sandbox-migrate-to-next for stable-to-preview migrations.","files":["SKILL.md"]},{"name":"sanity-best-practices","description":"Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, webhooks, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix, SvelteKit, Angular, Hydrogen, the App","files":["SKILL.md","references/angular.md","references/app-sdk.md","references/astro.md","references/blueprints.md","references/dashboard.md","references/functions.md","references/get-started.md","references/groq.md","references/hydrogen.md","references/image.md","references/localization.md","references/migration-html-import.md","references/migration.md","references/nextjs.md","references/nuxt.md","references/page-builder.md","references/portable-text.md","references/project-structure.md","references/remix.md","references/schema.md","references/seo.md","references/studio-structure.md","references/svelte.md","references/typegen.md","references/visual-editing.md"]},{"name":"sanity-migration","description":"Plans, implements, and reviews migrations from other CMSes and content systems into Sanity. Use when migrating or replatforming to Sanity from AEM, Adobe Experience Manager, Contentful, Strapi, Webflow, WordPress, Payload, Drupal, Markdown/MDX/frontmatter files, WXR/XML exports, CMS APIs, database d","files":["SKILL.md","references/aem.md","references/contentful.md","references/drupal.md","references/general.md","references/markdown.md","references/payload.md","references/strapi.md","references/webflow.md","references/wordpress.md"]},{"name":"sanity-studio-upgrade","description":"Produces a tailored Sanity Studio upgrade plan by inspecting the repository's installed versions, config, and source, then reporting only the breaking changes that actually apply. Covers Studio v3 and later; v2 projects are identified and redirected, not planned. Use this skill whenever someone want","files":["SKILL.md","references/boundaries.md","references/boundary.v4.md","references/boundary.v5.md","references/boundary.v6.md","references/deprecations.md","references/detect.md","references/package-coupling.md","references/plugins.md","references/report-template.md","references/version-lookup.md"]},{"name":"santa-method","description":"Multi-agent adversarial verification: two independent reviewers with the same rubric must both pass before output ships, with a fix-and-re-review convergence loop and human escalation cap. Use when gating publishing, production deploys, compliance or brand-sensitive content, or hallucination-prone c","files":["SKILL.md"]},{"name":"sap-successfactors-automation","description":"Automate SAP SuccessFactors tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sarif-parsing","description":"Parses and processes SARIF files from static analysis tools like CodeQL, Semgrep, or other scanners. Triggers on \"parse sarif\", \"read scan results\", \"aggregate findings\", \"deduplicate alerts\", or \"process sarif output\". Handles filtering, deduplication, format conversion, and CI/CD integration of SA","files":["SKILL.md","agents/openai.yaml","resources/jq-queries.md","resources/sarif_helpers.py","resources/test_sarif_helpers.py"]},{"name":"sast-configuration","description":"Configure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.","files":["SKILL.md"]},{"name":"sast-scanning","description":"Perform static application security testing with tools like Semgrep, CodeQL, and SonarQube. Identify security vulnerabilities in source code before deployment. Use when implementing secure SDLC, code review automation, or security gates in CI/CD pipelines.","files":["SKILL.md","references/sast-tools.md"]},{"name":"satismeter-automation","description":"Automate Satismeter tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"scaffold","description":"scaffold skill","files":["SKILL.md","references/bicep-app-service.md","references/bicep-container-apps.md","references/bicep-patterns-data.md","references/bicep-patterns-security.md","references/bicep-patterns.md","references/bicep-swa.md","references/cicd-pipelines.md","references/dockerfile-generation.md","references/env-var-secrets.md","references/error-handling.md","references/iac-generation-rules.md","references/mcp-tools.md","references/rbac-roles.md","references/scaffold-healing-rules.md","references/scaffold-schemas.ts","references/self-healing.md","references/self-review-checklist.md","references/self-review-procedure.md","references/subagent-iac-gen.md","references/subagent-review.md","references/subagent-validate.md","references/terraform-patterns.md","references/validation-and-manifest.md","references/waf-checklist.md","scripts/scaffold-conformance.ps1","scripts/scaffold-conformance.sh"]},{"name":"scaffold-exercises","description":"Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.","files":["SKILL.md","agents/openai.yaml"]},{"name":"scaffolding-oracle-to-postgres-migration-test-project","description":"Scaffolds an xUnit integration test project targeting Oracle in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use only during Phase 3, before writing Oracle baseline integration tests. Do not invoke during Phase 6 — the PostgreSQL test project is p","files":["SKILL.md"]},{"name":"scan","description":"Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand","files":["SKILL.md"]},{"name":"scholar-evaluation","description":"Provides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.","files":["SKILL.md","assets/evaluation_template.json","assets/evidence_manifest_template.json","assets/process_checklist_template.json","assets/rubric_template.json","references/evaluation_framework.md","references/local_tooling.md","references/responsible_assessment.md","references/security_validation.md","references/source_ledger.md","scripts/_common.py","scripts/calculate_scores.py","scripts/check_process.py","scripts/check_traceability.py","scripts/generate_report_scaffold.py","scripts/summarize_agreement.py","scripts/validate_rubric.py","scripts/weight_sensitivity.py"]},{"name":"scientific-brainstorming","description":"Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, stud","files":["SKILL.md","references/brainstorming_methods.md","references/facilitation_workflows.md","references/idea_evaluation.md","references/responsible_ai.md","references/sources.md","scripts/_common.py","scripts/evaluate_matrix.py","scripts/session_scaffold.py","scripts/validate_register.py"]},{"name":"scientific-critical-thinking","description":"Evaluates scientific claims and evidence quality. Applies to experimental design validity, biases and confounders, statistical interpretation, evidence grading frameworks (GRADE, Cochrane Risk of Bias), and teaching critical analysis. Supports evidence appraisal and identifying flaws; formal peer re","files":["SKILL.md","references/common_biases.md","references/core_capabilities.md","references/evidence_hierarchy.md","references/experimental_design.md","references/logical_fallacies.md","references/review_sources.md","references/scientific_method.md","references/statistical_pitfalls.md"]},{"name":"scientific-db-pubmed-database","description":"Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.","files":["SKILL.md"]},{"name":"scientific-db-uspto-database","description":"USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.","files":["SKILL.md"]},{"name":"scientific-pkg-gget","description":"gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package.","files":["SKILL.md"]},{"name":"scientific-thinking-literature-review","description":"Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. Use when the task is to find, screen, synthesize, and cite a body of academic or technical literature.","files":["SKILL.md"]},{"name":"scientific-thinking-scholar-evaluation","description":"Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback. Use when evaluating academic or scientific work — papers, proposals, methods sections, or evidence quality — against a repeatable rubri","files":["SKILL.md"]},{"name":"scientific-visualization","description":"Creates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use it for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.","files":["SKILL.md","assets/color_palettes.py","assets/publisher_profiles.json","references/color_palettes.md","references/journal_requirements.md","references/matplotlib_examples.md","references/publication_guidelines.md","references/sources.md","scripts/_common.py","scripts/export_plan.py","scripts/figure_export.py","scripts/image_metadata.py","scripts/palette_audit.py","scripts/style_presets.py","scripts/style_preview.py"]},{"name":"scientific-writing","description":"Drafts, revises, and audits scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confidentiality controls, and local consistency checks. Use for manuscript sections, references, declarations, tables, figures, or submission prep","files":["SKILL.md","assets/REPORT_FORMATTING_GUIDE.md","assets/authorship_template.json","assets/consistency_manifest_template.json","assets/manuscript_manifest_template.json","assets/manuscript_scaffold.md","assets/reporting_coverage_template.json","assets/reporting_guidelines.json","assets/source_manifest_template.json","references/authorship_ai_confidentiality.md","references/citation_styles.md","references/cli_reference.md","references/evidence_workflow.md","references/figures_tables.md","references/imrad_structure.md","references/journal_policies.md","references/professional_report_formatting.md","references/reporting_guidelines.md","references/research_integrity_open_science.md","references/source_ledger.md","references/writing_principles.md","scripts/_common.py","scripts/audit_claims.py","scripts/check_consistency.py","scripts/check_references.py","scripts/lint_manuscript.py","scripts/scaffold_manuscript.py","scripts/select_reporting_guidelines.py","scripts/validate_authorship.py","scripts/validate_manifest.py"]},{"name":"scikit-learn","description":"Supports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive re","files":["SKILL.md","references/common_workflows.md","references/core_capabilities.md","references/model_evaluation.md","references/pipelines_and_composition.md","references/preprocessing.md","references/quick_reference.md","references/supervised_learning.md","references/unsupervised_learning.md","scripts/classification_pipeline.py","scripts/clustering_analysis.py"]},{"name":"scikit-survival","description":"Builds, evaluates, and audits right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics.","files":["SKILL.md","references/competing-risks.md","references/cox-models.md","references/data-handling.md","references/ensemble-models.md","references/evaluation-metrics.md","references/svm-models.md","scripts/_common.py","scripts/competing_risk_cif.py","scripts/evaluate_survival_metrics.py","scripts/model_report.py","scripts/train_survival_model.py","scripts/validate_survival_csv.py"]},{"name":"score-eval","description":"Score the eval diff at $ARGUMENTS against the eval rubric.","files":["SKILL.md"]},{"name":"scoutqa-test","description":"This skill should be used when the user asks to \"test this website\", \"run exploratory testing\", \"check for accessibility issues\", \"verify the login flow works\", \"find bugs on this page\", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibil","files":["SKILL.md"]},{"name":"scrape-do-automation","description":"Automate Scrape Do tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"scrapegraph-ai-automation","description":"Automate Scrapegraph AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"scrapfly-automation","description":"Automate Scrapfly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"scrapingant-automation","description":"Automate Scrapingant tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"scrapingbee-automation","description":"Automate Scrapingbee tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"screen-reader-testing","description":"Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.","files":["SKILL.md"]},{"name":"screen-recording","description":"Create annotated animated GIF demos and screen recordings for pull requests and documentation. Covers frame capture, timing, imageio-based GIF creation, and per-frame annotation workflows.","files":["SKILL.md"]},{"name":"screenshot","description":"Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","scripts/ensure_macos_permissions.sh","scripts/take_screenshot.ps1","scripts/take_screenshot.py"]},{"name":"screenshot-fyi-automation","description":"Automate Screenshot Fyi tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"screenshotone-automation","description":"Automate Screenshotone tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"script-generator","description":"Generates optimized, syntax-validated scripts on demand. Never executes — only generates, optimizes, and validates.","files":["SKILL.md"]},{"name":"scvi-tools","description":"Fits probabilistic models for single-cell omics, including scVI batch integration, scANVI annotation, totalVI CITE-seq, MultiVI RNA/ATAC integration, and posterior differential expression. Use for generative modeling, reference mapping, multimodal analysis, or model-based uncertainty; use scanpy for","files":["SKILL.md","references/differential-expression.md","references/models-atac-seq.md","references/models-multimodal.md","references/models-scrna-seq.md","references/models-spatial.md","references/models-specialized.md","references/theoretical-foundations.md","references/workflows.md"]},{"name":"sdk-getting-started","description":"Validates the user's environment for SageMaker AI operations — checks SDK version, AWS region, and execution role. Use when the user says \"set up\", \"getting started\", \"check my environment\", \"configure SDK\", or as the first step in any plan involving SageMaker/Bedrock training, evaluation, or deploy","files":["SKILL.md","references/execution-role-setup.md","references/sagemaker-python-sdk-setup.md"]},{"name":"seaborn","description":"Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to stat","files":["SKILL.md","references/examples.md","references/function_reference.md","references/grids_and_levels.md","references/objects_interface.md","references/palettes_and_theming.md","references/patterns_and_troubleshooting.md","references/plotting_functions.md"]},{"name":"search-first","description":"Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a uti","files":["SKILL.md"]},{"name":"seat-geek-automation","description":"Automate Seat Geek tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"secops-cases","description":"Manage Google Security Operations (SecOps) SOAR cases throughout their lifecycle. Use when listing, creating, inspecting, updating, or closing SOAR cases; adding investigative comments and notes; updating case priority or description; or linking and grouping security alerts within cases. Supports bo","files":["SKILL.md"]},{"name":"secops-detection-engineering","description":"Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps. Use when writing new detection rules, tuning existing rules, validating syntax, testing logic against historical telemetry, or evaluating detection coverage against threat ","files":["SKILL.md"]},{"name":"secops-hunt","description":"Expert guidance for proactive threat hunting in Google SecOps. Use when proactively hunting for threats, retroactively analyzing indicators of compromise (IoCs), performing prevalence searches across enterprise events, hunting for MITRE ATT&CK techniques, or detecting behavioral and statistical outl","files":["SKILL.md"]},{"name":"secops-investigate","description":"Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterp","files":["SKILL.md"]},{"name":"secops-triage","description":"Expert guidance for security alert triage in Google SecOps. Use when investigating and triaging security alerts, determining false positives vs. true positives, assessing entity risk, adjusting alert severity or priority, and closing or escalating alerts and cases. Don't use for deep multi-hop incid","files":["SKILL.md"]},{"name":"secret-serialization","description":"Finds secrets, tokens, passwords, and API keys that can leak through generated serialization: Python dataclass repr and asdict, attrs, pydantic model_dump, NamedTuple, JavaScript JSON.stringify and util.inspect, structured logs, tracing spans, and error reports. Use when asked to \"check for secret s","files":["SKILL.md","SOURCES.md","SPEC.md","references/javascript-typescript.md","references/python.md"]},{"name":"secrets-management","description":"Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.","files":["SKILL.md"]},{"name":"secure-code-guardian","description":"Use when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities — including custom security implementations such as hashing passwords with bcrypt/argon2, sanitizing SQL queries with parameterized statements, configuring CORS/CSP headers, validating","files":["SKILL.md","references/authentication.md","references/input-validation.md","references/owasp-prevention.md","references/security-headers.md","references/xss-csrf.md"]},{"name":"secure-workflow-guide","description":"Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas. Use wh","files":["SKILL.md","agents/openai.yaml","resources/EXAMPLE_REPORT.md","resources/WORKFLOW_STEPS.md"]},{"name":"securing-s3-buckets","description":"Create and secure S3 buckets following AWS best practices for access control, encryption, monitoring, and remediation of misconfigurations. Use when the user wants to secure a new bucket, audit an existing bucket, fix a security finding, configure encryption, or enable logging and monitoring. Do NOT","files":["SKILL.md","references/audit-checklist.md","references/encryption.md","references/iam-permissions.md","references/remediation.md","references/workflows.md"]},{"name":"security-and-hardening","description":"Hardens code against vulnerabilities. Use when auditing an input handler for vulnerabilities, when handling user input, authentication, data storage, or external integrations, or when checking a login flow is safe against the OWASP Top Ten. Use when building any feature that accepts untrusted data, ","files":["SKILL.md","references/hardening-patterns.md"]},{"name":"security-audit","description":"Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full/compr","files":["SKILL.md","AI-AND-LLM.md","ATTACK-CLASSES.md","CLIENT-SIDE.md","CLOUD-AND-DEPLOYMENT.md","DATA-ISOLATION-AND-LIFECYCLE.md","DESKTOP-MOBILE-AND-LOCAL-IPC.md","HUNTING.md","MEMORY-SAFETY-AND-BINARY.md","PROTOCOLS-RPC-AND-MESSAGING.md","RECONNAISSANCE.md","RESOURCE-EXHAUSTION-AND-AVAILABILITY.md","SUPPLY-CHAIN-AND-RELEASE.md","VALIDATION-AND-REPORTING.md","WEB-PROTOCOL-AND-AUTH.md","report-schema.json","validate-coverage-ledger.cjs","validate-coverage-ledger.test.cjs","validate-findings.cjs","validate-findings.test.cjs"]},{"name":"security-automation","description":"Automate security workflows and remediation. Build security pipelines, automate compliance checks, and implement SOAR capabilities. Use when scaling security operations or implementing DevSecOps.","files":["SKILL.md"]},{"name":"security-best-practices","description":"Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/types","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/golang-general-backend-security.md","references/javascript-express-web-server-security.md","references/javascript-general-web-frontend-security.md","references/javascript-jquery-web-frontend-security.md","references/javascript-typescript-nextjs-web-server-security.md","references/javascript-typescript-react-web-frontend-security.md","references/javascript-typescript-vue-web-frontend-security.md","references/python-django-web-server-security.md","references/python-fastapi-web-server-security.md","references/python-flask-web-server-security.md"]},{"name":"security-bounty-hunter","description":"Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings. Use when hunting reportable, remotely reachable vulnerabilities in a repository.","files":["SKILL.md"]},{"name":"security-headers-configuration","description":"Configures HTTP security headers to protect against XSS, clickjacking, and MIME sniffing attacks. Use when hardening web applications, passing security audits, or implementing Content Security Policy.","files":["SKILL.md","references/python-apache.md"]},{"name":"security-ownership-map","description":"Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. 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Use this skill when asked to scan code for security vulnerabilities, find bugs, check for","files":["SKILL.md","references/language-patterns.md","references/report-format.md","references/secret-patterns.md","references/vuln-categories.md","references/vulnerable-packages.md"]},{"name":"security-scan","description":"Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers,","files":["SKILL.md"]},{"name":"security-threat-model","description":"Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppS","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","references/prompt-template.md","references/security-controls-and-assets.md"]},{"name":"securitytrails-automation","description":"Automate Securitytrails tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"segment-anything-model","description":"Foundation model for image segmentation with zero-shot transfer. Use when you need to segment any object in images using points, boxes, or masks as prompts, or automatically generate all object masks in an image.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"segmetrics-automation","description":"Automate Segmetrics tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"seismic-automation","description":"Automate Seismic tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"selenide-skill","description":"Generates Selenide tests in Java. Concise UI testing framework built on Selenium with automatic waits and fluent API. Use when user mentions \"Selenide\", \"$(selector)\", \"shouldBe(visible)\", \"Selenide Java\". Triggers on: \"Selenide\", \"$() selector\", \"shouldBe\", \"shouldHave\", \"Selenide test\".","files":["SKILL.md","reference/advanced-patterns.md","reference/cloud-integration.md","reference/playbook.md"]},{"name":"self-improve","description":"Autonomous evolutionary code improvement engine with tournament selection","files":["SKILL.md","data_contracts.md","scripts/plot_progress.py","scripts/resolve-paths.mjs","scripts/validate.sh","si-benchmark-builder.md","si-goal-clarifier.md","si-researcher.md","templates/agent-settings.json","templates/goal.md","templates/harness.md","templates/idea.md","templates/settings.json"]},{"name":"self-improvement-loops","description":"This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent ","files":["SKILL.md","references/loop-design-evidence.md"]},{"name":"self-managed-context","description":"This skill should be used when a model gets read-write control over its own live context window instead of a harness-scheduled compaction policy: the context exposed as an editable file the model rewrites with code tools, model-driven eviction and in-place updates, the harness invariants that keep s","files":["SKILL.md","references/evidence.md","references/harness-protocol.md"]},{"name":"semantic-kernel","description":"Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.","files":["SKILL.md","references/dotnet.md","references/python.md"]},{"name":"semantic-versioning","description":"Automate versioning and changelog generation using semantic versioning principles. Configure release automation, version bumping, and changelog tools. Use when implementing version management or automating release processes.","files":["SKILL.md"]},{"name":"semanticscholar-automation","description":"Automate Semanticscholar tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"semgrep","description":"Runs a Semgrep security scan over a codebase: detects languages, selects rulesets, presents the plan for explicit approval, then runs every approved ruleset through scripts/run-scans.sh, which batches the semgrep processes and writes scans.json, and merges the output to SARIF. Supports two scan mode","files":["SKILL.md","agents/openai.yaml","references/rulesets.md","references/scan-modes.md","scripts/merge_sarif.py","scripts/run-scans.sh","scripts/test_merge_sarif.py","workflows/scan-workflow.md"]},{"name":"semgrep-rule-creator","description":"Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.","files":["SKILL.md","agents/openai.yaml","references/quick-reference.md","references/workflow.md"]},{"name":"semgrep-rule-variant-creator","description":"Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.","files":["SKILL.md","agents/openai.yaml","references/applicability-analysis.md","references/language-syntax-guide.md","references/workflow.md"]},{"name":"send-data","description":"Sending telemetry data to Grafana Cloud — metrics via Prometheus remote write or OTLP, logs via Loki push or Alloy, traces via OTLP to Tempo, profiles via Pyroscope. Covers Alloy-based pipelines, direct SDK/agent integrations, cloud integrations catalog, and credentials management. Use when connecti","files":["SKILL.md"]},{"name":"sendbird-ai-chabot-automation","description":"Automate Sendbird AI Chabot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sendbird-automation","description":"Automate Sendbird tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sendfox-automation","description":"Automate Sendfox tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sendlane-automation","description":"Automate Sendlane tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sendloop-automation","description":"Automate Sendloop tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sendspark-automation","description":"Automate Sendspark tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sensibo-automation","description":"Automate Sensibo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sentence-transformers","description":"Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best ","files":["SKILL.md","references/models.md"]},{"name":"sentry-create-alert","description":"Create Sentry alerts using the workflow engine API. Use when asked to create alerts, set up notifications, configure issue priority alerts, or build workflow automations. Supports email, Slack, PagerDuty, Discord, and other notification actions.","files":["SKILL.md"]},{"name":"sentry-debug-issue","description":"Debug and fix a Sentry issue — find it (by link, ID, or search), pull full context (stack trace, breadcrumbs, trace, logs), optionally run Seer root-cause / autofix, apply the code fix, and resolve it via a `Fixes PROJECT-NAME-12A` commit/PR. Use when working a known error or hunting one down to fix","files":["SKILL.md","references.yml"]},{"name":"sentry-fix-stack-traces","description":"Make Sentry stack traces readable — upload source maps for JavaScript/TypeScript, or debug files for native and mobile (dSYM, ProGuard/R8, NDK symbols, Dart obfuscation maps, .NET PDBs). Use when frames in Sentry show minified names, bundled paths, hex addresses, \"unknown\", or method names with no f","files":["SKILL.md","references.yml"]},{"name":"sentry-get-started","description":"Guided entry point for using Sentry through your agent. Orients you to your current setup and, for a new project, sets up Sentry end to end with sane defaults — provision a project, install the SDK (errors, tracing, and whatever it enables by default), and confirm real telemetry reaches Sentry. Rout","files":["SKILL.md","references.yml"]},{"name":"sentry-instrument","description":"Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling, session replay, user feedback, cron check-ins, uptime monitors for the deployed app, and AI/LLM monitori","files":["SKILL.md","references.yml"]},{"name":"sentry-otel-exporter-setup","description":"Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.","files":["SKILL.md"]},{"name":"sentry-setup-releases","description":"Set up Sentry releases and deploy tracking — tag events with a version and environment, create the release in CI with its commits, and wire up suspect commits and code mappings, so Sentry can show which release introduced an issue, which commit is responsible, and release health. Use when asked to s","files":["SKILL.md","references.yml"]},{"name":"seo","description":"Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.","files":["SKILL.md"]},{"name":"seo-aeo-best-practices","description":"SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or i","files":["SKILL.md","references/aeo-considerations.md","references/eeat-principles.md","references/structured-data.md","references/technical-seo.md"]},{"name":"seo-keyword-cluster-builder","description":"SEO keyword clustering with topic organization, content hub architecture, internal linking strategies. Use for content strategy, keyword research, pillar page structures, or encountering cluster organization, hub architecture, internal linking errors.","files":["SKILL.md"]},{"name":"seo-optimizer","description":"SEO optimization with keyword analysis, readability assessment, technical validation, content quality. Use for search rankings, blog posts, content audits, or encountering keyword density, readability scores, meta tags, schema markup errors.","files":["SKILL.md","references/analysis-framework.md","references/output-templates.md"]},{"name":"seqera-automation","description":"Automate Seqera tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sequential-thinking","description":"Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.","files":["SKILL.md"]},{"name":"serpapi-automation","description":"Automate Serpapi tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"serpdog-automation","description":"Automate Serpdog tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"serply-automation","description":"Automate Serply tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"server-setup","description":"Initialize tRPC with initTRPC.create(), define routers with t.router(), create procedures with .query()/.mutation()/.subscription(), configure context with createContext(), export AppRouter type, merge routers with t.mergeRouters(), lazy-load routers with lazy().","files":["SKILL.md"]},{"name":"server-side-calls","description":"Call tRPC procedures directly from server code using t.createCallerFactory() and router.createCaller(context) for integration testing, internal server logic, and custom API endpoints. Catch TRPCError and extract HTTP status with getHTTPStatusCodeFromError(). Error handling via onError option.","files":["SKILL.md"]},{"name":"server-side-conversion-tracking","description":"Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Use when conversions are under-reported, when platform-reported purchases do not match real orders, when asked about Conversions API","files":["SKILL.md"]},{"name":"service-mesh-observability","description":"Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.","files":["SKILL.md","references/details.md"]},{"name":"service-oriented-architecture","description":"Break a tRPC backend into multiple services with custom routing links that split on the first path segment (op.path.split('.')) to route to different backend service URLs. Define a faux gateway router that merges service routers for the AppRouter type without running them in the same process. Share ","files":["SKILL.md"]},{"name":"servicem8-automation","description":"Automate Servicem8 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"session-guard","description":"Use when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlier, when conventions drift, when output quality seems to degrade, or after any context compaction event. Prevents long-session corruption AND context c","files":["SKILL.md"]},{"name":"session-management","description":"Implements secure session management with JWT tokens, Redis storage, refresh flows, and proper cookie configuration. Use when building authentication systems, managing user sessions, or implementing secure logout functionality.","files":["SKILL.md"]},{"name":"session-report","description":"Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.","files":["SKILL.md","analyze-sessions.mjs"]},{"name":"setting-up-cloudtrail-multi-region","description":"Enables a multi-region AWS CloudTrail trail with S3 log storage, CloudWatch Logs integration, and CloudWatch Logs Insights queries for security monitoring and compliance auditing. Use when setting up centralized API activity logging across all AWS regions.","files":["SKILL.md","references/cloudtrail-multi-region-setup.md"]},{"name":"setting-up-cloudwatch-alarm-notifications","description":"Sets up notification channels for CloudWatch alarms using SNS topics and subscriptions. Always use this skill when configuring alarm notifications — it creates encrypted SNS topics, configures topic policies for CloudWatch access, sets up email/SMS/webhook subscriptions, and links alarms to notifica","files":["SKILL.md","references/setup-cloudwatch-alarm-notifications.md"]},{"name":"setting-up-ec2-instance-profiles","description":"Configures EC2 instances to securely call AWS services by creating and attaching IAM roles via instance profiles, eliminating hardcoded credentials. Use when an EC2 instance needs permissions to access AWS services like S3, DynamoDB, SQS, or CloudWatch through temporary credentials.","files":["SKILL.md","references/ec2-instance-profile-setup.md"]},{"name":"setup-browser-cookies","description":"Import cookies from your real Chromium browser into the headless browse session. (gstack)","files":["SKILL.md"]},{"name":"setup-deploy","description":"Configure deployment settings for /land-and-deploy.","files":["SKILL.md"]},{"name":"setup-matt-pocock-skills","description":"Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.","files":["SKILL.md","agents/openai.yaml","domain.md","issue-tracker-github.md","issue-tracker-gitlab.md","issue-tracker-local.md","triage-labels.md"]},{"name":"setup-pre-commit","description":"Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.","files":["SKILL.md","agents/openai.yaml"]},{"name":"setup-ts-deep-modules","description":"Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files. User-invoked.","files":["SKILL.md","agents/openai.yaml","dependency-cruiser.config.cjs"]},{"name":"sevdesk-automation","description":"Automate Sevdesk tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sglang","description":"Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.","files":["SKILL.md","references/deployment.md","references/radix-attention.md","references/structured-generation.md"]},{"name":"shadcn","description":"Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a","files":["SKILL.md","agents/openai.yml","cli.md","customization.md","design-system-page.md","design-system.md","evals/evals.json","mcp.md","registry.md","rules/base-vs-radix.md","rules/chat.md","rules/composition.md","rules/forms.md","rules/icons.md","rules/styling.md","scripts/showcase-coverage.mjs"]},{"name":"shadcn-ui","description":"Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.","files":["SKILL.md","README.md","resources/component-catalog.md","resources/customization-guide.md","resources/migration-guide.md","resources/setup-guide.md","scripts/verify-setup.sh"]},{"name":"shadcn-vue","description":"shadcn-vue for Vue/Nuxt with Reka UI components and Tailwind. Use for accessible UI, Auto Form, data tables, charts, or encountering component imports, dark mode, Reka UI errors.","files":["SKILL.md","assets/components.json","assets/nuxt.config.ts","assets/tsconfig.json","assets/vite.config.ts","references/component-examples.md","references/dark-mode-setup.md","references/error-catalog.md","scripts/quick-setup.sh","templates/quick-setup.ts"]},{"name":"shap","description":"Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.","files":["SKILL.md","references/data-maskers.md","references/explainers.md","references/migration.md","references/modalities.md","references/plots.md","references/theory.md","references/troubleshooting.md","references/workflows.md","scripts/tabular_report.py"]},{"name":"shieldadvanced","description":"Configures AWS Shield Advanced for enhanced Distributed Denial of Service (DDoS) protection: subscribing accounts and adding resource protections, enabling automatic application layer (layer 7) mitigation through AWS WAF, configuring health-based detection with Route 53 health checks, setting up Shi","files":["SKILL.md","references/aggregating-resources-into-protection-groups.md","references/configuring-health-based-detection.md","references/deciding-between-shield-standard-and-advanced.md","references/enabling-automatic-application-layer-mitigation.md","references/reviewing-ddos-events-and-requesting-cost-protection.md","references/setting-up-srt-support-and-proactive-engagement.md","references/subscribing-to-shield-advanced-and-protecting-resources.md"]},{"name":"shipengine-automation","description":"Automate Shipengine tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"shipping-and-launch","description":"Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.","files":["SKILL.md"]},{"name":"shopify-expert","description":"Builds and debugs Shopify themes (.liquid files, theme.json, sections), develops custom Shopify apps (shopify.app.toml, OAuth, webhooks), and implements Storefront API integrations for headless storefronts. Use when building or customizing Shopify themes, creating Hydrogen or custom React storefront","files":["SKILL.md","references/app-development.md","references/checkout-customization.md","references/liquid-templating.md","references/performance-optimization.md","references/storefront-api.md"]},{"name":"shopify-review-triage","description":"Use this skill when someone wants public Shopify App Store reviews, low-star reviews, or merchant feedback triaged, prioritized, clustered, or turned into a product or support brief. Trigger for prompts like \"triage these app store reviews\", \"what should we fix first from this feedback\", \"cluster ou","files":["SKILL.md"]},{"name":"short-io-automation","description":"Automate Short IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"short-menu-automation","description":"Automate Short Menu tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"shorten-rest-automation","description":"Automate Shorten Rest tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"shortpixel-automation","description":"Automate Shortpixel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"shotstack-automation","description":"Automate Shotstack tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"shuffle-json-data","description":"Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.","files":["SKILL.md"]},{"name":"sidetracker-automation","description":"Automate Sidetracker tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"siege","description":"Work on one hard mathematics problem in rounds: each round a judge writes a few self-contained questions, independent workers answer them, and the judge keeps a ledger of what is proved, refuted and open, until the judge concludes or the rounds run out, and then a proof.md says plainly what is and i","files":["SKILL.md","scripts/ledger.py"]},{"name":"sign-in-with-google-web","description":"Implement, configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS / `https://accounts.google.com/gsi/client`) across web architectures. Use when creating Google sign-in buttons, implementing Google One Tap with FedCM, integrating GIS in React/Next.js/Angular/HTML, verif","files":["SKILL.md","references/bff_fastapi_verification.md","references/in_memory_spa_nonce.md","references/intermediate_iframe.md","references/offline_pwa_encryption.md","references/tmb_login_uri_redirect.md"]},{"name":"signal-write","description":"Emit structured agent signals — hands-up, blocked, done, checkpoint, partnership. Signals are written as JSON to .signals/ for dashboard consumption and noted in the journal for persistence.","files":["SKILL.md"]},{"name":"signaturely-automation","description":"Automate Signaturely tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"signed-audit-trails-recipe","description":"Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD","files":["SKILL.md","references/cedar-policy.md","references/ci-cd.md","references/hook-wiring.md","references/receipt-format.md"]},{"name":"signing-in-to-aws","description":"Gets AWS credentials for CLI/SDK access via `aws login`. Activates when a developer needs to authenticate to AWS for local development, when an AWS operation fails due to missing or expired credentials, or when someone asks about setting up AWS access. Triggers: \"set up AWS\", \"configure AWS\", \"aws l","files":["SKILL.md"]},{"name":"signpath-automation","description":"Automate Signpath tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"signwell-automation","description":"Automate Signwell tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"similarity-search-patterns","description":"Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.","files":["SKILL.md","references/details.md"]},{"name":"similarweb-digitalrank-api-automation","description":"Automate SimilarWeb tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"simla-com-automation","description":"Automate Simla Com tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"simple-analytics-automation","description":"Automate Simple Analytics tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"simplesat-automation","description":"Automate Simplesat tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"simpo-training","description":"Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.","files":["SKILL.md","references/datasets.md","references/hyperparameters.md","references/loss-functions.md"]},{"name":"simpy","description":"Builds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues, interrupts, monitoring, independent replications, warm-up, and reproducible output analysis.","files":["SKILL.md","references/cli-guide.md","references/events.md","references/monitoring.md","references/process-interaction.md","references/real-time.md","references/resources.md","references/simulation-methodology.md","references/sources.md","scripts/_common.py","scripts/basic_simulation_template.py","scripts/bounded_queue_scenario.py","scripts/event_trace_summary.py","scripts/replication_runner.py","scripts/resource_monitor.py","scripts/validate_simulation_config.py"]},{"name":"site-md","description":"Analyze a project description or site requirements and synthesize a project constitution into SITE.md for the Stitch Build Loop","files":["SKILL.md"]},{"name":"sitespeakai-automation","description":"Automate Sitespeakai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sitetositevpn","description":"Configures AWS Site-to-Site VPN: creating an IPsec VPN connection between an on-premises network and a VPC, choosing the target gateway (virtual private gateway, transit gateway, or AWS Cloud WAN), choosing static or dynamic (BGP) routing, sizing tunnel bandwidth (Standard 1.25 Gbps or Large 5 Gbps)","files":["SKILL.md","references/applying-the-customer-gateway-device-configuration.md","references/choosing-static-or-dynamic-routing.md","references/choosing-tunnel-bandwidth-standard-or-large.md","references/connecting-many-sites-with-a-vpn-concentrator.md","references/creating-a-site-to-site-vpn-connection.md","references/making-a-connection-highly-available.md","references/monitoring-and-troubleshooting-tunnels.md"]},{"name":"skill","description":"Manage local skills - list, add, remove, search, edit, setup wizard","files":["SKILL.md"]},{"name":"skill-authoring","description":"Author, audit, and improve Grafana SKILL.md files against Anthropic's published Agent Skills guidance and the four-dimension rubric the grafana/skills CI gate uses (conciseness, actionability, workflow clarity, progressive disclosure). Applies the canonical SKILL.md structure (YAML frontmatter + bod","files":["SKILL.md","references/anatomy.md","references/anti-patterns.md","references/descriptions.md","references/rubric.md"]},{"name":"skill-comply","description":"Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when checking whether agents actually follow the skills","files":["SKILL.md","fixtures/tdd_spec.yaml","prompts/classifier.md","prompts/scenario_generator.md","prompts/spec_generator.md","pyproject.toml","scripts/__init__.py","scripts/classifier.py","scripts/grader.py","scripts/parser.py","scripts/report.py","scripts/run.py","scripts/runner.py","scripts/scenario_generator.py","scripts/spec_generator.py","scripts/utils.py","tests/test_grader.py","tests/test_parser.py","tests/test_runner.py"]},{"name":"skill-creator","description":"Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.","files":["SKILL.md","references/azure-sdk-patterns.md","references/output-patterns.md","references/workflows.md","scripts/init_skill.py","scripts/package_skill.py","scripts/quick_validate.py"]},{"name":"skill-development","description":"This skill should be used when the user wants to \"create a skill\", \"add a skill to plugin\", \"write a new skill\", \"improve skill description\", \"organize skill content\", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.","files":["SKILL.md","references/skill-creator-original.md"]},{"name":"skill-improver","description":"Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality","files":["SKILL.md"]},{"name":"skill-optimizer","description":"Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger term","files":["SKILL.md","rules/activation-design.md","rules/benchmark-loop.md","rules/context-budget.md","rules/regression-triage.md","rules/release-gates.md","tile.json"]},{"name":"skill-prune","description":"Identify and remove negative-ROI skill content — orphan files, never-read entries, duplicates, content reintroducing challenge-specific lore. Inverse of /skill-update. Use during quarterly maintenance or after the linter flags issues.","files":["SKILL.md"]},{"name":"skill-scout","description":"Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.","files":["SKILL.md"]},{"name":"skill-share","description":"A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.","files":["SKILL.md"]},{"name":"skill-stocktake","description":"Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.","files":["SKILL.md","scripts/quick-diff.sh","scripts/save-results.sh","scripts/scan.sh"]},{"name":"skill-update","description":"Skill creation, update and management — generates skill directory structure, validates against best practices, enforces line count limits. Use when creating, updating, or improving skills.","files":["SKILL.md","reference/CONTENT.md","reference/FRONTMATTER.md","reference/ROUTING.md","reference/STRUCTURE.md"]},{"name":"skillify","description":"Turn a repeatable workflow from the current session into a reusable OMC skill draft","files":["SKILL.md"]},{"name":"skyfire-automation","description":"Automate Skyfire tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"skypilot-multi-cloud-orchestration","description":"Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"slack-gif-creator","description":"Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.","files":["SKILL.md","LICENSE.txt","core/easing.py","core/frame_composer.py","core/gif_builder.py","core/validators.py","requirements.txt"]},{"name":"slack-to-teams","description":"Sub-skill of microsoft-365-agents-toolkit. Routed expert system with 100+ micro-expert files for migrating Slack bots to Teams, cross-platform bridging, and dual-platform bot development. USE FOR: migrating Slack bot to Teams, adding Teams support to Slack bot, building dual-platform bots, convertin","files":["SKILL.md"]},{"name":"slackbot-automation","description":"Automate Slackbot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"slang-shader-engineer","description":"Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on ","files":["SKILL.md","references/language-reference.md","references/rules-and-patterns.md","references/slang-documentation-full.md"]},{"name":"slicing-code-context","description":"Selects bounded, graph-informed source slices with Trailmark and delegates focused code analysis or patch-proposal work to a smaller subagent. Use when offloading function-, class-, caller-, callee-, call-path-, entrypoint-, or line-focused code tasks to constrained or locally hosted models without ","files":["SKILL.md","agents/openai.yaml","references/slice-packet.md","scripts/build_slice_packet.py","scripts/pyproject.toml","scripts/test_build_slice_packet.py"]},{"name":"slime-rl-training","description":"Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.","files":["SKILL.md","references/api-reference.md","references/troubleshooting.md"]},{"name":"slo-implementation","description":"Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.","files":["SKILL.md","references/details.md"]},{"name":"smartproxy-automation","description":"Automate Smartproxy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"smartrecruiters-automation","description":"Automate Smartrecruiters tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"smartui-skill","description":"Generates SmartUI visual regression test configurations for screenshot comparison on TestMu AI cloud. Framework-agnostic — works with Playwright, Selenium, Cypress, Puppeteer. Use when user mentions \"SmartUI\", \"visual regression\", \"screenshot comparison\", \"visual testing\". Triggers on: \"SmartUI\", \"v","files":["SKILL.md","reference/playbook.md"]},{"name":"sms-alert-automation","description":"Automate SMS Alert tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"smtp2go-automation","description":"Automate Smtp2go tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"smugmug-automation","description":"Automate Smugmug tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"snipgrapher","description":"Configures and uses snipgrapher to generate polished code snippet images, including syntax-highlighted PNGs, SVGs, and WebP exports with custom themes, profiles, and styling options. Use when the user wants to create code screenshots, turn code into shareable images, generate pretty code snippets fo","files":["SKILL.md","rules/rendering-workflows.md","rules/setup-and-configuration.md","tile.json"]},{"name":"snowflake-semanticview","description":"Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and conn","files":["SKILL.md"]},{"name":"soc2-compliance","description":"Implement SOC 2 Trust Services Criteria. Configure security, availability, and processing integrity controls. Use when achieving SOC 2 certification.","files":["SKILL.md"]},{"name":"social-engineering","description":"Social engineering testing - phishing, pretexting, vishing, and physical security assessment techniques.","files":["SKILL.md","reference/scenarios/phishing/business-email-compromise.md","reference/scenarios/phishing/email-phishing.md","reference/scenarios/phishing/smishing.md","reference/scenarios/phishing/watering-hole.md","reference/scenarios/physical/badge-cloning.md","reference/scenarios/physical/dumpster-diving.md","reference/scenarios/physical/shoulder-surfing.md","reference/scenarios/physical/tailgating.md","reference/scenarios/physical/usb-drop-baiting.md","reference/scenarios/pretexting/pretexting.md","reference/scenarios/vishing/voice-phishing.md","reference/social-engineering.md"]},{"name":"social-graph-ranker","description":"Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.","files":["SKILL.md"]},{"name":"social-publishing","description":"Schedule and publish social media posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via the SocialClaw API. Use when the user wants to publish, schedule, or manage social media content programmatically. Requires SOCIA","files":["SKILL.md"]},{"name":"solana-vulnerability-scanner","description":"Scans Solana programs for 6 critical vulnerabilities including arbitrary CPI, improper PDA validation, missing signer/ownership checks, and sysvar spoofing. Use when auditing Solana/Anchor programs.","files":["SKILL.md","agents/openai.yaml","resources/VULNERABILITY_PATTERNS.md"]},{"name":"solidity-security","description":"Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.","files":["SKILL.md","references/details.md"]},{"name":"solo","description":"Work on one hard mathematics problem in this session yourself, with no sub-agents: reason in stages, record each settled step in a notes file so that nothing written is lost if a response is cut off, and end with a self-contained proof.md. Usage: /math-proof:solo <the problem, stated in full, or the","files":["SKILL.md"]},{"name":"sops-encryption","description":"Encrypt files and configs with Mozilla SOPS. Integrate with AWS KMS, GCP KMS, or PGP for key management. Use when encrypting configuration files, Kubernetes secrets, or implementing GitOps with encrypted secrets.","files":["SKILL.md"]},{"name":"sourcegraph-automation","description":"Automate Sourcegraph tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"spanner-basics","description":"Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.","files":["SKILL.md","references/cli-usage.md","references/client-library-usage.md","references/core-concepts.md","references/iam-security.md","references/mcp-usage.md","references/postgresql-dialect.md","references/queues-usage.md","references/schema-design.md","references/terraform-usage.md"]},{"name":"spark-engineer","description":"Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operati","files":["SKILL.md","references/partitioning-caching.md","references/performance-tuning.md","references/rdd-operations.md","references/spark-sql-dataframes.md","references/streaming-patterns.md"]},{"name":"spark-environment-setup","description":"Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.","files":["SKILL.md","references/container-workflow.md","references/stack-matrix.md"]},{"name":"spark-memory-thermal-ops","description":"Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.","files":["SKILL.md","assets/thermal-sample.sh","references/uma-accounting.md"]},{"name":"spark-optimization","description":"Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.","files":["SKILL.md","references/details.md"]},{"name":"spark-training-gotchas","description":"Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.","files":["SKILL.md","assets/preflight.sh","references/gotcha-checks.md"]},{"name":"sparse-autoencoder-training","description":"Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.","files":["SKILL.md","references/README.md","references/api.md","references/tutorials.md"]},{"name":"speak-summary","description":"Convert text, markdown, or a summary produced by another skill into a listenable MP3 using local CPU-only neural text-to-speech. Rewrites written prose for the ear before synthesising. Use when the user asks to \"read this out\", \"turn this into audio\", \"make an MP3\", \"I want to listen to this\", \"podc","files":["SKILL.md","scripts/tts.sh"]},{"name":"spec","description":"Turn vague intent into a precise, executable spec in five phases. (gstack)","files":["SKILL.md","sections/gate-and-file.md","sections/manifest.json"]},{"name":"spec-driven-development","description":"Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when drafting a PRD or requirements document with objectives and scope, or when requirements are unclear, ambiguous, or only exist as a vague idea. Use when a single requ","files":["SKILL.md"]},{"name":"spec-miner","description":"Reverse-engineering specialist that extracts specifications from existing codebases. Use when working with legacy or undocumented systems, inherited projects, or old codebases with no documentation. Invoke to map code dependencies, generate API documentation from source, identify undocumented busine","files":["SKILL.md","references/analysis-checklist.md","references/analysis-process.md","references/ears-format.md","references/specification-template.md"]},{"name":"specialist-ac-verifier","description":"Maps acceptance criteria to implementation evidence, tests, and scope creep. Use during review when a diff, PR, ticket, or story includes numbered ACs.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-architecture-guard","description":"Audits PR diffs for architecture boundary violations, design simplicity, dependency drift, and established-pattern mismatches. Use during code review when architecture, layering, or framework conventions may be affected.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-aspm-correlator","description":"Application Security Posture Management persona. Correlates findings from SAST, DAST, and SCA tools, deduplicates noise, maps vulnerabilities to specific code commits, and generates targeted remediation PRs.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-codebase-scout","description":"Explores codebase structure, affected files, blast radius, related tests, and local conventions for a focused topic. Use when review or planning needs structural lookup without bloating main context.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-confluence-searcher","description":"Searches Confluence and related tickets for product, architecture, rollout, and test-data context. Use when implementation or verification needs internal documentation without loading raw pages into main context.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-integration-test-generator","description":"Generates one integration/E2E test from an approved test case spec using existing project patterns. Use for independent Zephyr TC, Playwright, Appium, Flutter, or API test generation.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-jira-analyst","description":"High-density JIRA analysis persona. Extracts reproduce steps, ACs, and market requirements with zero-hallucination rigor.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-logic-hacker","description":"Red Team persona for Business Logic and Auth manipulation. Generates and executes stateful fuzzing scripts (Playwright/Python) to test RBAC bypasses, BOLA/IDOR, race conditions, and complex multi-step transaction flaws.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-pr-commenter-batch","description":"Posts sanitized batches of PR review comments or replies through configured review tooling. Use after review-ticket when findings are approved for publication.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-pr-reviewer","description":"Summarizes GitHub PR, GitLab MR, or Azure DevOps PR metadata, review threads, changed files, and template completeness. Use during review-ticket or code-review workflows when PR/MR context exists.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-security-reviewer","description":"High-density security audit persona. Enforces OWASP Top 10, Vibe Security, trust gating, and runtime hardening for code and agentic review flows.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-solution-diagrammer","description":"Draws one evidence-grounded architecture diagram as an editable draw.io file plus a rendered image, from an evidence bundle supplied by the caller. Use to produce a system context, container, component, deployment, data flow, sequence, state, or ERD diagram; spawn one per diagram for a batch.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-system-architect","description":"Runs one bounded deep dive on a single risky component of a system design and returns options, failure modes, and a justified recommendation. Use during a design session when a component needs expert depth beyond the main thread's budget.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-tc-creator","description":"Creates one test case in Zephyr or another test-management system from an approved structured spec. Use for bulk TC creation by spawning one independent specialist per TC.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-tdd-implementer","description":"Strict quality-first TDD specialist. Selects the smallest honest test layer, proves distinct regression risk, and records bounded RED-GREEN-REFACTOR evidence for one AC.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-test-gap-finder","description":"Finds missing, weak, or stale test coverage in a diff. Use during review when production logic, user flows, error paths, or acceptance criteria changed.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-test-healer","description":"Classifies one failing E2E test from its artifacts, applies at most one allowed repair from the test-healing catalog, proves it with three sequential reruns and an unchanged assertion set, and returns a verdict with a route. Use per failure inside test-loop; never for production code changes.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-test-planner","description":"Turns approved AC/SRS into an executable test plan (scenarios, seed, selector gaps) for the test-loop workflow. Use for independent test-plan generation from stable requirements.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-testid-inserter","description":"Inserts stable test ids into production components for each selector gap named by a test plan, following the per-framework insertion policy and never renaming existing ids. Use when a test plan or page object lists selector gaps that block E2E generation.","files":["SKILL.md","evals/evals.json"]},{"name":"specialist-zephyr-scanner","description":"Finds Zephyr Scale test cases linked or relevant to Jira stories, ACs, modules, and release risks. Use for coverage analysis and traceability checks.","files":["SKILL.md","evals/evals.json"]},{"name":"speculative-decoding","description":"Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jac","files":["SKILL.md","references/lookahead.md","references/medusa.md"]},{"name":"splitwise-automation","description":"Automate Splitwise tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"spoki-automation","description":"Automate Spoki tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"spondyr-automation","description":"Automate Spondyr tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sponsor-finder","description":"Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive ","files":["SKILL.md"]},{"name":"spotlightr-automation","description":"Automate Spotlightr tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"spring-boot-api-design","description":"Design Spring Boot APIs with OpenAPI, Versioning, and Global Error Handling. Use when designing Spring Boot APIs with OpenAPI specs, versioning, or global error handling.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-architecture","description":"Structure Spring Boot 3+ projects with feature packaging and clean layering. Use when structuring Spring Boot 3 projects, defining layers, or applying architecture patterns.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-best-practices","description":"Apply core coding standards, dependency injection, and configuration for Spring Boot 3. Use for Spring Boot application structure and DI/configuration; defer Spring Security hardening and test-specific setup to their focused skills.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-data-access","description":"Optimize JPA, Hibernate, and database interactions in Spring Boot. Use when implementing JPA entities, repositories, or database access in Spring Boot.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-deployment","description":"Deploy Spring Boot apps with Docker, GraalVM native images, and graceful shutdown. Use when deploying Spring Boot apps as GraalVM native images, containers, or configuring shutdown.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-engineer","description":"Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke","files":["SKILL.md","references/cloud.md","references/data.md","references/security.md","references/testing.md","references/web.md"]},{"name":"spring-boot-microservices","description":"Standards for Feign clients and asynchronous messaging with Spring Cloud Stream. Use when implementing Feign HTTP clients or async event messaging in Spring Boot microservices.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-observability","description":"Instrument Spring Boot with Micrometer metrics, distributed tracing, and structured logging. Use when adding Micrometer metrics, distributed tracing, or structured logging to Spring Boot.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-scheduling","description":"Configure scheduled tasks and distributed locking with ShedLock in Spring Boot. Use when implementing @Scheduled tasks or distributed locking with ShedLock in Spring Boot.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-security","description":"Configure Spring Security 6+ with Lambda DSL, JWT, and hardening rules. Use when configuring Spring Security 6+, OAuth2, JWT, or security hardening in Spring Boot.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"spring-boot-testing","description":"Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.","files":["SKILL.md","references/assertj-basics.md","references/assertj-collections.md","references/context-caching.md","references/datajpatest.md","references/instancio.md","references/mockitobean.md","references/mockmvc-classic.md","references/mockmvc-tester.md","references/restclienttest.md","references/resttestclient.md","references/sb4-migration.md","references/test-slices-overview.md","references/testcontainers-jdbc.md","references/webmvctest.md"]},{"name":"springboot-patterns","description":"Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work.","files":["SKILL.md"]},{"name":"springboot-security","description":"Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services. Use when reviewing Spring Security authn/authz, validation, CSRF, secrets, headers, or rate limiting.","files":["SKILL.md"]},{"name":"springboot-tdd","description":"Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.","files":["SKILL.md"]},{"name":"springboot-verification","description":"Run the full Spring Boot verification loop — Maven or Gradle build, SpotBugs, PMD, and Checkstyle static analysis, unit and Testcontainers integration tests with JaCoCo coverage, OWASP dependency and secret scans, and diff review — producing a pass/fail readiness report. Use when preparing a Spring ","files":["SKILL.md"]},{"name":"sql-code-review","description":"Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL opti","files":["SKILL.md"]},{"name":"sql-object-impact-analysis","description":"Before modifying a table, column, stored procedure, view, or trigger in a legacy codebase, trace every place that references it — across other SQL objects (procs, views, triggers) AND application code (C#, Angular/TypeScript, JS, or any language in the repo) — and produce a structured blast-radius r","files":["SKILL.md"]},{"name":"sql-optimization","description":"Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monit","files":["SKILL.md"]},{"name":"sql-optimization-patterns","description":"Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.","files":["SKILL.md","references/details.md"]},{"name":"sql-pro","description":"Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window func","files":["SKILL.md","references/database-design.md","references/dialect-differences.md","references/optimization.md","references/query-patterns.md","references/window-functions.md"]},{"name":"sql-server-table-reconciliation","description":"Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.","files":["SKILL.md","scripts/reconcile.py"]},{"name":"sre-dashboards","description":"Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.","files":["SKILL.md"]},{"name":"sre-engineer","description":"Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring configurations and automation scripts for production systems. Use when defining SLIs/SLOs, managing error budgets, building reliable systems at sca","files":["SKILL.md","references/automation-toil.md","references/error-budget-policy.md","references/incident-chaos.md","references/monitoring-alerting.md","references/slo-sli-management.md"]},{"name":"sred-project-organizer","description":"Take a list of projects and their related documentation, and organize them into the SRED format for submission.","files":["SKILL.md","references/SRED.md","references/project-template.md"]},{"name":"sred-work-summary","description":"Go back through the previous year of work and create a Notion doc that groups relevant links into projects that can then be documented as SRED projects.","files":["SKILL.md"]},{"name":"ssl-tls-management","description":"Manage SSL/TLS certificates with Let's Encrypt and internal PKI. Configure secure HTTPS, certificate renewal, and cipher suites. Use when implementing secure communications.","files":["SKILL.md"]},{"name":"sslmate-cert-spotter-api-automation","description":"Automate Sslmate Cert Spotter API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ssma-console","description":"Use when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration","files":["SKILL.md"]},{"name":"stable-baselines3","description":"Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vectorized rollouts, callbacks, and checkpoint normalization. Applies to reproducible RL experiments, continuous control, discrete actions, and SB3-Contrib ","files":["SKILL.md","references/algorithms.md","references/callbacks.md","references/custom_environments.md","references/vectorized_envs.md","scripts/custom_env_template.py","scripts/evaluate_agent.py","scripts/train_rl_agent.py"]},{"name":"stable-diffusion-image-generation","description":"State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.","files":["SKILL.md","references/advanced-usage.md","references/troubleshooting.md"]},{"name":"stack-exchange-automation","description":"Automate Stack Exchange tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"stannp-automation","description":"Automate Stannp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"starton-automation","description":"Automate Starton tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"startup-financial-modeling","description":"Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-read","files":["SKILL.md","references/details.md"]},{"name":"startup-metrics-framework","description":"Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking bus","files":["SKILL.md"]},{"name":"state-machine","description":"Renders every state of a component you choose on a throwaway page, with mock data and a switcher, so you can work on each state.","files":["SKILL.md","agents/openai.yaml","switcher.md"]},{"name":"statistical-analysis","description":"Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, c","files":["SKILL.md","references/assumptions_and_diagnostics.md","references/bayesian_statistics.md","references/effect_sizes_and_power.md","references/reporting_standards.md","references/test_selection_guide.md","scripts/assumption_checks.py"]},{"name":"statistical-power","description":"Calculates sample sizes and statistical power for study planning. Applies when someone asks \"how many subjects/samples/replicates do I need\", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-regist","files":["SKILL.md","references/closed_form_recipes.md","references/effect_sizes.md","references/simulation_based_power.md","scripts/power.py","scripts/simulate_power.py"]},{"name":"statsmodels","description":"Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. Supports coefficient inference, marginal effects, model comparison and time series forecasting with explicit design and uncertainty checks. Used for econometrics and statistical modeling; f","files":["SKILL.md","references/discrete_choice.md","references/glm.md","references/linear_models.md","references/model_selection.md","references/modeling_capabilities.md","references/quick_start_guide.md","references/review.md","references/stats_diagnostics.md","references/time_series.md"]},{"name":"statuscake-automation","description":"Automate Statuscake tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"steno-mode","description":"Shorthand-first response compression that cuts ~40% of response tokens while preserving technical precision and exact literals. Use when the user says \"steno mode\", \"shorthand mode\", \"compressed responses\", \"token reduction\", \"brief structured output\", or invokes /steno. Supports four compression le","files":["SKILL.md"]},{"name":"stitch-loop","description":"Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern","files":["SKILL.md","README.md","examples/SITE.md","examples/next-prompt.md","resources/baton-schema.md","resources/site-template.md"]},{"name":"storeganise-automation","description":"Automate Storeganise tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"storerocket-automation","description":"Automate Storerocket tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"storing-and-querying-vectors","description":"Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate ","files":["SKILL.md","references/limits-and-patterns.md","references/metadata-filtering.md"]},{"name":"stormglass-io-automation","description":"Automate Stormglass IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"storytelling","description":"Build multi-shot narrative image, video, and audio workflows with genmedia. Use this for storyboards, shot lists, multi-prompt video, first-frame to last-frame pipelines, social stories, brand films, and sequence continuity.","files":["SKILL.md","references/examples.md","references/shot-planning.md","references/workflows.md"]},{"name":"strategic-compact","description":"Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction. Use when a session is approaching a context limit and a task phase is a natural place to compact.","files":["SKILL.md"]},{"name":"strava-automation","description":"Automate Strava tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"streamtime-automation","description":"Automate Streamtime tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"stride-analysis-patterns","description":"Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.","files":["SKILL.md","references/details.md"]},{"name":"stripe-apps","description":"Build, modify, or review Stripe Apps and extensions using the relevant documentation and reference guides. Use for custom Stripe Dashboard UI, stripe-app.yaml, @stripe/ui-extension-sdk, @stripe/extensibility-sdk, script extensions, extension interfaces, custom workflow actions, and apps that authent","files":["SKILL.md","references/authentication.md","references/backend.md","references/canonical-docs.md","references/discovery.md","references/extension-types.md","references/feedback.md","references/onboarding-ux.md","references/publishing.md","references/script-extensions.md","references/ui-extensions.md","references/webhooks.md","references/workflow.md"]},{"name":"stripe-best-practices","description":"Guides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (S","files":["SKILL.md","references/billing.md","references/connect.md","references/payments.md","references/security.md","references/tax.md","references/treasury.md"]},{"name":"stripe-directory","description":"Identifies external providers, merchants, nonprofits, platforms, APIs, and software services, and resolves the documented way to engage them — to pay, donate, subscribe, book, provision, or integrate with them. MUST be used BEFORE web search, model memory, or any other directory/vendor-lookup skill ","files":["SKILL.md"]},{"name":"stripe-docs","description":"Use when the user or agent needs to read, search, or look up Stripe documentation or API reference. Prefer this over curl or WebFetch for any docs.stripe.com content. Use to fetch gated documentation.","files":["SKILL.md"]},{"name":"stripe-integration","description":"Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.","files":["SKILL.md","references/details.md"]},{"name":"stripe-pay","description":"Helps users send funds to another Stripe business, transfer money to a Stripe Profile handle or network ID, or ask whether an agent can pay a Stripe business. Use Stripe Directory to find or verify a recipient when the user doesn't provide an exact Stripe Profile handle or network ID.","files":["SKILL.md"]},{"name":"stripe-projects","description":"Use when the user wants to provision infrastructure or third-party services using Stripe Projects. Triggers: \"I need a database\", \"set up auth\", \"add caching\", \"give me a Postgres\", \"provision Redis\", \"I need hosting\", \"add a vector DB\", \"get me an API key for X\", \"get credentials for X\", \"sign up f","files":["SKILL.md"]},{"name":"structured-autonomy-generate","description":"Structured Autonomy Implementation Generator Prompt","files":["SKILL.md"]},{"name":"structured-autonomy-implement","description":"Structured Autonomy Implementation Prompt","files":["SKILL.md"]},{"name":"structured-autonomy-plan","description":"Structured Autonomy Planning Prompt","files":["SKILL.md"]},{"name":"styles","description":"Use this skill to integrate the Jetpack Compose Styles API into an Android","files":["SKILL.md","references/android/develop/ui/compose/designsystems/custom.md","references/android/develop/ui/compose/styles/fundamentals.md","references/android/develop/ui/compose/styles/state-animations.md","references/android/develop/ui/compose/styles/styles-vs-modifiers.md","references/android/develop/ui/compose/styles/theming.md"]},{"name":"subscriptions","description":"Set up real-time event streams with async generator subscriptions using .subscription(async function*() { yield }). SSE via httpSubscriptionLink is recommended over WebSocket. Use tracked(id, data) from @trpc/server for reconnection recovery with lastEventId. WebSocket via wsLink and createWSClient ","files":["SKILL.md"]},{"name":"substrate-vulnerability-scanner","description":"Scans Substrate/Polkadot pallets for 7 critical vulnerabilities including arithmetic overflow, panic DoS, incorrect weights, and bad origin checks. Use when auditing Substrate runtimes or FRAME pallets.","files":["SKILL.md","agents/openai.yaml","resources/VULNERABILITY_PATTERNS.md"]},{"name":"suggest-awesome-github-copilot-agents","description":"Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.","files":["SKILL.md"]},{"name":"suggest-awesome-github-copilot-instructions","description":"Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.","files":["SKILL.md"]},{"name":"suggest-awesome-github-copilot-skills","description":"Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.","files":["SKILL.md"]},{"name":"supabase","description":"Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT","files":["SKILL.md","CHANGELOG.md","assets/feedback-issue-template.md","references/skill-feedback.md"]},{"name":"supadata-automation","description":"Automate Supadata tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"superchat-automation","description":"Automate Superchat tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"superjson","description":"Configure SuperJSON transformer on both server initTRPC.create({ transformer: superjson }) and every client terminating link (httpBatchLink, httpLink, wsLink, httpSubscriptionLink) to support Date, Map, Set, BigInt over the wire. Transformer must match on both sides. In v11, transformer goes on indi","files":["SKILL.md"]},{"name":"superself","description":"Use when a project keeps its state in Superself (a `<!-- superself:begin` block in AGENTS.md or CLAUDE.md, or `self setup` resolves the directory to a registered project): read `self context` at session start, attach work to a work unit, report with evidence, and record confirmed decisions so the ne","files":["SKILL.md"]},{"name":"supply-chain-attack-response","description":"Detect, respond to, and prevent software supply chain attacks on package registries, container images, and CI/CD pipelines with lockfile auditing, provenance verification, and emergency response playbooks.","files":["SKILL.md"]},{"name":"supportbee-automation","description":"Automate Supportbee tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"supportivekoala-automation","description":"Automate Supportivekoala tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"surgical-patch","description":"Fix bugs and small behavior changes at the narrowest responsible layer. Use when regression proof, preserved surrounding behavior, and task-relevant tests matter.","files":["SKILL.md","agents/openai.yaml"]},{"name":"svelte-code-writer","description":"CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating, editing or analyzing any Svelte component (.svelte) or Svelte module (.svelte.ts/.svelte.js). If possible, this skill should be executed within the svelte-file-editor agent for optimal results.","files":["SKILL.md"]},{"name":"svelte-core-bestpractices","description":"Guidance on writing fast, robust, modern Svelte code. Load this skill whenever in a Svelte project and asked to write/edit or analyze a Svelte component or module. Covers reactivity, event handling, styling, integration with libraries and more.","files":["SKILL.md","references/attach.md","references/await-expressions.md","references/bind.md","references/each.md","references/hydratable.md","references/inspect.md","references/render.md","references/snippet.md","references/svelte-reactivity.md"]},{"name":"svix-automation","description":"Automate Svix tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"swarm","description":"Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.","files":["SKILL.md","scripts/batching.ts","scripts/executor.ts","scripts/filter.ts","scripts/index.ts","scripts/interpolate.ts","scripts/table.ts","scripts/types.ts","scripts/utils.ts"]},{"name":"swift-actor-persistence","description":"Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design. Use when persisting data in Swift and a data race or thread-safety problem needs designing out.","files":["SKILL.md"]},{"name":"swift-best-practices","description":"Apply Guard, Value Types, Immutability, and Naming conventions in Swift. Use when writing idiomatic Swift with guard, value types, immutability, or naming conventions—not Swift concurrency/actor-isolation, persistence, linting, or release tooling.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-concurrency","description":"Implement async/await, Actors, and structured concurrency in Swift. Use when implementing Swift async/await, Actors, or structured concurrency in iOS/macOS.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-concurrency-6-2","description":"Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types. Use when adopting Swift 6.2 concurrency — offloading with @concurrent or resolving main-actor isolation.","files":["SKILL.md"]},{"name":"swift-concurrency-expert","description":"Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file. Concrete actions include adding Sendable conformance, applying @MainActor annotations, resolving a","files":["SKILL.md","agents/openai.yaml","references/approachable-concurrency.md","references/swift-6-2-concurrency.md","references/swiftui-concurrency-tour-wwdc.md"]},{"name":"swift-error-handling","description":"Standards for throwing functions, Result type, and Never. Use when implementing Swift error throwing, designing error hierarchies, using Result types, or adding do-catch blocks.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-expert","description":"Builds iOS/macOS/watchOS/tvOS applications, implements SwiftUI views and state management, designs protocol-oriented architectures, handles async/await concurrency, implements actors for thread safety, and debugs Swift-specific issues. Use when building iOS/macOS applications with Swift 5.9+, SwiftU","files":["SKILL.md","references/async-concurrency.md","references/memory-performance.md","references/protocol-oriented.md","references/swiftui-patterns.md","references/testing-patterns.md"]},{"name":"swift-language","description":"Apply Optionals, Protocols, Extensions, and Type Safety patterns in Swift. Use when working with Swift Optionals, Protocols, Extensions, or type-safe APIs.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-mcp-server-generator","description":"Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.","files":["SKILL.md"]},{"name":"swift-memory-management","description":"Prevent retain cycles via ARC, weak/unowned references, and Capture Lists in Swift. Use when managing Swift ARC, avoiding retain cycles, or configuring capture lists in closures.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-protocol-di-testing","description":"Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing. Use when Swift code needs testing and file system, network, or external APIs must be mocked.","files":["SKILL.md"]},{"name":"swift-swiftui","description":"Configure SwiftUI state, view lifecycle, and Property Wrappers correctly. Use when managing SwiftUI state, view lifecycle, or property wrappers like @State and @Binding.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-testing","description":"Write XCTest cases, async tests, and organized test suites in Swift. Use when writing XCTest cases, async tests, or organizing test suites in Swift.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swift-tooling","description":"Configure SPM packages, SwiftLint, and build settings for Swift projects. Use when managing Swift packages with SPM, configuring build settings, or enforcing Swift code quality.","files":["SKILL.md","evals/evals.json","references/implementation.md"]},{"name":"swiftui-liquid-glass","description":"Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.","files":["SKILL.md","agents/openai.yaml","references/liquid-glass.md"]},{"name":"swiftui-patterns","description":"SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices. Use when building or reviewing SwiftUI views, @Observable state, navigation, or render performance.","files":["SKILL.md"]},{"name":"swiftui-performance-audit","description":"Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review ","files":["SKILL.md","agents/openai.yaml","references/code-smells.md","references/demystify-swiftui-performance-wwdc23.md","references/optimizing-swiftui-performance-instruments.md","references/profiling-intake.md","references/report-template.md","references/understanding-hangs-in-your-app.md","references/understanding-improving-swiftui-performance.md"]},{"name":"swiftui-pro","description":"Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.","files":["SKILL.md",".claude-plugin/plugin.json","agents/openai.yaml","references/accessibility.md","references/api.md","references/data.md","references/design.md","references/hygiene.md","references/localization.md","references/navigation.md","references/performance-plus.md","references/performance.md","references/resizability.md","references/swift.md","references/views.md","skills/swiftui-pro/SKILL.md"]},{"name":"swiftui-view-refactor","description":"Refactor and review SwiftUI view files with strong defaults for small dedicated subviews, MV-over-MVVM data flow, stable view trees, explicit dependency injection, and correct Observation usage. Use when cleaning up a SwiftUI view, splitting long bodies, removing inline actions or side effects, redu","files":["SKILL.md","agents/openai.yaml","references/mv-patterns.md"]},{"name":"sympla-automation","description":"Automate Sympla tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"sympy","description":"Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code generation. Use when a task needs symbolic results, explicit assumptions, or exact arithmetic; use NumPy or SciPy for purely numerical workloads.","files":["SKILL.md","references/advanced-topics.md","references/code-generation-printing.md","references/core-capabilities.md","references/core_capabilities.md","references/matrices-linear-algebra.md","references/physics-mechanics.md","references/review.md"]},{"name":"sync-gbrain","description":"Keep gbrain current with this repo's code and refresh agent search guidance in CLAUDE.md. 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Do not use for non-DAFT data.","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yaml","evals/evals.json","skill-card.md"]},{"name":"tao-finetune-clip","description":"CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yaml","evals/evals.json","references/error-patterns.md","references/skill_info.yaml","references/spec-param-inference.md","references/spec_template.yaml","references/spec_template_deploy.yaml","references/spec_template_evaluate.yaml","references/spec_template_export.yaml","references/spec_template_train.yaml","references/tao-deploy-clip.md","references/tao-deploy-clip.skill_info.yaml","schemas/evaluate.schema.json","schemas/export.schema.json","schemas/manifest.json","schemas/train.schema.json","skill-card.md"]},{"name":"tao-finetune-cosmos-embed","description":"Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to \"fine-tune Cosmos-Embed1\", \"run cosmos-embed inference\", \"export Cosmos-Embed1\", \"embed videos\", or \"search videos with text\".","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yaml","evals/evals.json","references/skill_info.yaml","references/spec_template_evaluate.yaml","references/spec_template_export_hf.yaml","references/spec_template_export_onnx.yaml","references/spec_template_inference.yaml","references/spec_template_train.yaml","skill-card.md"]},{"name":"tao-finetune-nv-tesseract-ad-diffusion","description":"NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series. 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Use for reaction-network time courses, kinetic parameters, concentration dynamic","files":["SKILL.md","assets/experiment.json","references/experiments.md","scripts/kinetic_experiment.py"]},{"name":"telnyx-automation","description":"Automate Telnyx tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"teltel-automation","description":"Automate Teltel tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"template-skill","description":"Replace with description of the skill and when Claude should use it.","files":["SKILL.md"]},{"name":"templated-automation","description":"Automate Templated tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tempo","description":"Stand up Grafana Tempo as a cost-efficient distributed-tracing backend that only needs object storage, and write TraceQL queries against it. Covers OTLP + Jaeger + Zipkin ingestion, the distributor → live-store → block-builder → object-storage write path, metrics-generator for RED spanmetrics + serv","files":["SKILL.md","references/architecture-and-operations.md","references/traceql.md"]},{"name":"temporal-python-testing","description":"Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.","files":["SKILL.md","resources/integration-testing.md","resources/local-setup.md","resources/replay-testing.md","resources/unit-testing.md"]},{"name":"tensorboard","description":"Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit","files":["SKILL.md","references/integrations.md","references/profiling.md","references/visualization.md"]},{"name":"tensorrt-llm","description":"Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.","files":["SKILL.md","references/multi-gpu.md","references/optimization.md","references/serving.md"]},{"name":"terminal-opener","description":"Open an executable and its argument array in a visible terminal window through a reusable, shell-free launch plan with dry-run, JSON, capability detection, detached fallback, and standalone recovery modes. Use when Codex needs to open an interactive CLI, SSH session, local development process, sandb","files":["SKILL.md","agents/openai.yaml","scripts/open-terminal.js"]},{"name":"terminal-ops","description":"Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.","files":["SKILL.md"]},{"name":"terraform-aws","description":"Provision AWS infrastructure with Terraform. Create modules, manage state, and implement IaC best practices. Use when deploying AWS resources declaratively.","files":["SKILL.md","references/best-practices.md","scripts/tf-init.sh"]},{"name":"terraform-azurerm-set-diff-analyzer","description":"Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG","files":["SKILL.md","references/azurerm_set_attributes.json","references/azurerm_set_attributes.md","scripts/README.md","scripts/analyze_plan.py"]},{"name":"terraform-engineer","description":"Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, resolve state conflicts), provider configuration, multi-environment","files":["SKILL.md","references/best-practices.md","references/module-patterns.md","references/providers.md","references/state-management.md","references/testing.md"]},{"name":"terraform-gcp","description":"Provision GCP infrastructure with Terraform. Configure providers and deploy Google Cloud resources. Use when implementing IaC for GCP.","files":["SKILL.md","scripts/tf-init-gcp.sh"]},{"name":"terraform-module-library","description":"Build reusable Terraform modules for AWS, Azure, GCP, and OCI infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.","files":["SKILL.md","references/aws-modules.md","references/oci-modules.md"]},{"name":"terraform-search-import","description":"Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.","files":["SKILL.md","references/MANUAL-IMPORT.md","scripts/list_resources.sh"]},{"name":"terraform-stacks","description":"Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managin","files":["SKILL.md","references/api-monitoring.md","references/component-blocks.md","references/deployment-blocks.md","references/examples.md","references/linked-stacks.md","references/troubleshooting.md"]},{"name":"terraform-style-guide","description":"Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.","files":["SKILL.md","SECURITY.md"]},{"name":"terraform-test","description":"Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshoot","files":["SKILL.md","references/CI_CD.md","references/EXAMPLES.md","references/MOCK_PROVIDERS.md"]},{"name":"test-app-automation","description":"Automate Test App tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"test-audit","description":"Find low-value or duplicate tests and the test-only code they keep alive. (gstack)","files":["SKILL.md"]},{"name":"test-driven-development","description":"Use when implementing any feature or bugfix, before writing implementation code","files":["SKILL.md","writing-good-tests.md"]},{"name":"test-gap-audit","description":"Run a read-only audit for missing, weak, stale, or mis-scoped test coverage. 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Triggers on: \"TestCafe\", \"test cafe\", \"fixture/test\".","files":["SKILL.md","reference/advanced-patterns.md","reference/cloud-integration.md","reference/playbook.md"]},{"name":"testing","description":"Probe, load-test, and instrument frontends from Grafana Cloud. Covers Synthetic Monitoring (HTTP / DNS / TCP / Ping / Traceroute / Multihttp / k6-browser scripted checks from 20+ global probes, alert on `probe_success` + TLS-cert expiry), Grafana Cloud k6 (distributed load tests across AWS load-zone","files":["SKILL.md","references/k6-and-faro.md","references/k6-cloud.md","references/synthetic-monitoring.md","references/synthetic.md"]},{"name":"testing-handbook-generator","description":"Generates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.","files":["SKILL.md","agent-prompt.md","agents/openai.yaml","discovery.md","templates/domain-skill.md","templates/fuzzer-skill.md","templates/technique-skill.md","templates/tool-skill.md","testing.md"]},{"name":"testing-livekit-agents","description":"Writes turn-level tests for a LiveKit agent in the user''s normal test suite: pytest (Python) or Vitest (Node.js). Use when the user asks to \"write tests for my agent\", \"add a test for this tool\", \"test the handoff\", \"pin this bug\", \"why does my agent test fail\", or after building or changing agent ","files":["SKILL.md"]},{"name":"testing-mwaa-workflow","description":"Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun). Verifies the artifact is deployed and parse-ready, triggers with confirmation, polls to terminal state,","files":["SKILL.md","references/provisioned-testing.md","references/serverless-testing.md"]},{"name":"testing-setup","description":"Analyze and create a testing strategy for Android apps - install testing","files":["SKILL.md","references/android/develop/ui/compose/testing/common-patterns.md","references/android/studio/preview/compose-screenshot-testing-with-testsuites.md","references/android/studio/preview/compose-screenshot-testing.md","references/android/training/dependency-injection/hilt-testing.md"]},{"name":"testunit-skill","description":"Generates Test::Unit tests in Ruby. Classic xUnit-style testing with assert methods and test case classes. Use when user mentions \"Test::Unit\", \"assert_equal Ruby\", \"Ruby test-unit\". 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Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"the-fool","description":"Use when challenging ideas, plans, decisions, or proposals using structured critical reasoning. Invoke to play devil's advocate, run a pre-mortem, red team, or audit evidence and assumptions.","files":["SKILL.md","references/dialectic-synthesis.md","references/evidence-audit.md","references/mode-selection-guide.md","references/pre-mortem-analysis.md","references/red-team-adversarial.md","references/socratic-questioning.md"]},{"name":"the-odds-api-automation","description":"Automate The Odds API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"theme-factory","description":"Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.","files":["SKILL.md","LICENSE.txt","themes/arctic-frost.md","themes/botanical-garden.md","themes/desert-rose.md","themes/forest-canopy.md","themes/golden-hour.md","themes/midnight-galaxy.md","themes/modern-minimalist.md","themes/ocean-depths.md","themes/sunset-boulevard.md","themes/tech-innovation.md"]},{"name":"thesys-generative-ui","description":"> Generate, modify, and style React components from natural language using the Thesys SDK. Guides schema-driven UI generation, theme customisation, tool calling integration, and deployment to Vite, Next.js, or Cloudflare Workers. Use when the user says \"generate UI\", \"create a component\", \"build an ","files":["SKILL.md","references/ai-provider-setup.md","references/common-errors.md","references/component-api.md","references/error-catalog.md","references/integration-guide.md","references/tool-calling.md","references/use-cases-examples.md","references/what-is-thesys.md","scripts/check-versions.sh","scripts/install-dependencies.sh","templates/cloudflare-workers/worker-backend.ts","templates/cloudflare-workers/wrangler.jsonc","templates/nextjs/api-chat-route.ts","templates/nextjs/package.json","templates/nextjs/tool-calling-route.ts","templates/python-backend/README.md","templates/python-backend/fastapi-chat.py","templates/python-backend/flask-chat.py","templates/python-backend/requirements.txt","templates/shared/streaming-utils.ts","templates/shared/theme-config.ts","templates/shared/tool-schemas.ts","templates/vite-react/package.json"]},{"name":"threat-mitigation-mapping","description":"Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.","files":["SKILL.md","references/details.md"]},{"name":"threat-model-analyst","description":"Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis — full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments. (2)","files":["SKILL.md","references/analysis-principles.md","references/diagram-conventions.md","references/incremental-orchestrator.md","references/orchestrator.md","references/output-formats.md","references/skeletons/skeleton-architecture.md","references/skeletons/skeleton-assessment.md","references/skeletons/skeleton-dfd.md","references/skeletons/skeleton-findings.md","references/skeletons/skeleton-incremental-html.md","references/skeletons/skeleton-inventory.md","references/skeletons/skeleton-stride-analysis.md","references/skeletons/skeleton-summary-dfd.md","references/skeletons/skeleton-threatmodel.md","references/tmt-element-taxonomy.md","references/verification-checklist.md"]},{"name":"threat-modeling","description":"Conduct threat modeling using STRIDE methodology. Identify threats, assess risks, and design security controls. Use when designing secure systems or assessing application security.","files":["SKILL.md","references/threat-model-template.md"]},{"name":"threejs","description":"Three.js 3D graphics library - scene setup, geometry, materials, lighting, textures, animation, loaders, shaders, postprocessing, interaction. Use when building 3D web experiences, creating WebGL visualizations, working with GLTF models, implementing custom shaders, or adding interactive 3D elements","files":["SKILL.md","references/threejs-animation.md","references/threejs-fundamentals.md","references/threejs-geometry.md","references/threejs-interaction.md","references/threejs-lighting.md","references/threejs-loaders.md","references/threejs-materials.md","references/threejs-postprocessing.md","references/threejs-shaders.md","references/threejs-textures.md"]},{"name":"ti-ingest","description":"Threat-intel signal ingest — converts a CVE + affected-asset + claim payload into a queued engagement-scope row for the validation pipeline.","files":["SKILL.md","reference/ingest-schema.md"]},{"name":"ticketmaster-automation","description":"Automate Ticketmaster tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ticktick-automation","description":"Automate Ticktick tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tiledbvcf","description":"Stores and retrieves genomic variant calls with TileDB-VCF. Use for indexed single-sample VCF/BCF ingestion, incremental cohorts, region and sample queries, streaming results, allele statistics, QC, and VCF/BCF export locally or through TileDB Cloud.","files":["SKILL.md","references/verification.md"]},{"name":"tilegym-adding-cutile-kernel","description":"Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration in ops.py, cuTile backend implementation, __init__.py exports, test creation, and benchmark in tests/benchmark. Use when adding, creating, or implementing a new cuTile operator/kernel in TileGym, or when asking how to regi","files":["SKILL.md","BENCHMARK.md","evals/evals.json","skill-card.md"]},{"name":"tilegym-converting-cutile-to-julia","description":"Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or","files":["SKILL.md","BENCHMARK.md","evals/evals.json","examples/01_add/cutile_python.py","examples/02_matmul/cutile_python.py","examples/03_softmax/cutile_python.py","references/api-mapping.md","references/critical-rules.md","references/debugging.md","references/testing.md","scripts/validate_cutile_jl.py","skill-card.md","translations/workflow.md"]},{"name":"tilegym-converting-cutile-to-triton","description":"Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit). Handles standard in-repo conversion, debugging (cudaErrorIllegalAddress, shape mismatch, numerical mismatch), and mapping cuTile idioms (ct.load/ct.store, ct.Constant, ct.launch) to Triton equivalents. Covers dual-kernel layout flags ","files":["SKILL.md","BENCHMARK.md","evals/evals.json","examples/01_vector_add/cutile_kernel.py","examples/01_vector_add/triton_kernel.py","examples/02_softmax/cutile_kernel.py","examples/02_softmax/triton_kernel.py","examples/03_layernorm/cutile_kernel.py","examples/03_layernorm/triton_kernel.py","examples/04_matmul/cutile_kernel.py","examples/04_matmul/triton_kernel.py","examples/05_attention/cutile_kernel.py","examples/05_attention/triton_kernel.py","references/api-mapping.md","references/debugging.md","references/gotchas.md","references/harness-integration.md","references/optimization-strategy.md","references/optimizing-reference.md","references/performance-gotchas.md","skill-card.md","translations/advanced-patterns.md","translations/file-structure.md","translations/workflow.md"]},{"name":"tilegym-cutile-autotuning","description":"Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern,","files":["SKILL.md","BENCHMARK.md","assets/examples/01_rmsnorm_occupancy_only/autotuned_launch.py","assets/examples/01_rmsnorm_occupancy_only/fixed_launch.py","assets/examples/02_matmul_full_search/autotuned_launch.py","assets/examples/02_matmul_full_search/fixed_launch.py","assets/examples/03_rope_inplace_splitbuffer/autotuned_launch.py","assets/examples/03_rope_inplace_splitbuffer/fixed_launch.py","evals/evals.json","references/api-reference.md","references/hardware-constraints.md","references/kernel-type-templates.md","references/parameter-space-design.md","references/pitfalls.md","references/search-strategies.md","references/workflow.md","skill-card.md"]},{"name":"tilegym-improve-cutile-kernel-perf","description":"Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to \"optimiz","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/cutile-api-reference.md","references/cutile-patterns-reference.md","references/ir-dump-guide.md","references/optimization-playbook.md","references/perf-knobs-catalog.md","references/performance-model.md","skill-card.md"]},{"name":"tilegym-monkey-patch-kernels-to-transformers","description":"Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels in","files":["SKILL.md","BENCHMARK.md","evals/evals.json","references/auto-kernelize.md","references/environment-setup.md","references/kernel-integration.md","references/kernel-inventory-schema.md","skill-card.md"]},{"name":"timecamp-automation","description":"Automate Timecamp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"timekit-automation","description":"Automate Timekit tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"timelinesai-automation","description":"Automate Timelinesai tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"timelink-automation","description":"Automate Timelink tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"timely-automation","description":"Automate Timely tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"timesfm-forecasting","description":"Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation. Uses the Apache-licensed TimesFM 2.5 checkpoint by default and documents the distinct TimesFM 3.0 multivariate API and weight-licens","files":["SKILL.md","examples/anomaly-detection/detect_anomalies.py","examples/covariates-forecasting/demo_covariates.py","examples/global-temperature/README.md","examples/global-temperature/generate_animation_data.py","examples/global-temperature/generate_gif.py","examples/global-temperature/generate_html.py","examples/global-temperature/run_example.sh","examples/global-temperature/run_forecast.py","examples/global-temperature/visualize_forecast.py","references/api_reference.md","references/data_preparation.md","references/examples_and_validation.md","references/output_and_config.md","references/performance_tuning.md","references/system_requirements.md","references/timesfm3.md","references/workflows.md","scripts/check_system.py","scripts/forecast_csv.py"]},{"name":"timestream-influxdb","description":"Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants. Applicable to any InfluxDB-on-AWS request including engine variant and licensing selection, provisioning and IAM, encryption at rest (AWS-owned and customer-managed KMS keys, key policies, and ke","files":["SKILL.md","references/encryption.md","references/getting-started.md","references/migration-guide.md","references/monitoring-metrics.md","references/monitoring-operations.md","references/processing-engine-guide.md","references/s3-vpc-endpoint-troubleshooting.md","references/schema-design-guide.md","references/security-best-practices.md","references/troubleshooting-runbook.md","scripts/get_token.sh","scripts/health_check.sh","scripts/input_validator.py","scripts/instance_types.py"]},{"name":"tiny-stepping","description":"Incremental development workflow that makes the smallest meaningful change per step and pauses for feedback, so the direction gets validated early before continuing. Use for careful, iterative implementation with continuous validation.","files":["SKILL.md"]},{"name":"tinystruct-patterns","description":"Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including generating the bin/dispatcher and bin/dispatcher.cmd launcher scripts when a project lacks them, creating Application classes, @Action-mapped ","files":["SKILL.md","references/architecture.md","references/data-handling.md","references/database.md","references/routing.md","references/system-usage.md","references/testing.md"]},{"name":"tinyurl-automation","description":"Automate Tinyurl tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tisane-automation","description":"Automate Tisane tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tldr-prompt","description":"Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.","files":["SKILL.md"]},{"name":"tm7-threat-model","description":"Creates valid Microsoft Threat Modeling Tool (.tm7) files compatible with the Microsoft Threat Modeling Tool v7.3+. Use this skill whenever asked to create, generate, or modify a .tm7 threat model file, or when performing STRIDE threat modeling that should output a .tm7 file that opens cleanly in th","files":["SKILL.md"]},{"name":"to-questionnaire","description":"Turn a decision you can't fully answer into a questionnaire for someone else to fill in.","files":["SKILL.md","agents/openai.yaml"]},{"name":"to-spec","description":"Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.","files":["SKILL.md","agents/openai.yaml"]},{"name":"to-tickets","description":"Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).","files":["SKILL.md","agents/openai.yaml"]},{"name":"token-budget-advisor","description":"Offer a choice of response depth (25%/50%/75%/100%) with token estimates before answering, then answer at that level. Use when the user asks to control response length or token budget, such as 'token budget', 'short version', 'brief answer', 'respuesta corta vs larga', 'cuántos tokens', 'ahorrar tok","files":["SKILL.md"]},{"name":"token-card","description":"Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity.","files":["SKILL.md"]},{"name":"token-integration-analyzer","description":"Token integration and implementation analyzer based on Trail of Bits' token integration checklist. Analyzes token implementations for ERC20/ERC721 conformity, checks for 20+ weird token patterns, assesses contract composition and owner privileges, performs on-chain scarcity analysis, and evaluates h","files":["SKILL.md","agents/openai.yaml","resources/ASSESSMENT_CATEGORIES.md","resources/REPORT_TEMPLATES.md"]},{"name":"token-metrics-automation","description":"Automate Token Metrics tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tomba-automation","description":"Automate Tomba tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tomtom-automation","description":"Automate Tomtom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ton-vulnerability-scanner","description":"Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.","files":["SKILL.md","agents/openai.yaml","resources/VULNERABILITY_PATTERNS.md"]},{"name":"toneden-automation","description":"Automate Toneden tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tool-design","description":"This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to ","files":["SKILL.md","references/architectural_reduction.md","references/best_practices.md","scripts/description_generator.py"]},{"name":"tools-and-features-hogql","description":"HogQL queries for PostHog analytics","files":["SKILL.md","references/aggregations.md","references/clickhouse-functions.md","references/data-access.md","references/expressions.md","references/posthog.md","references/sessions.md","references/useful-functions.md","references/variables.md"]},{"name":"torch-geometric","description":"Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.","files":["SKILL.md","references/custom_datasets.md","references/explainability.md","references/heterogeneous.md","references/link_prediction.md","references/message_passing.md","references/review.md","references/scaling.md"]},{"name":"torchdrug","description":"Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Eng","files":["SKILL.md","references/core_concepts.md","references/datasets.md","references/knowledge_graphs.md","references/models_architectures.md","references/molecular_generation.md","references/molecular_property_prediction.md","references/protein_modeling.md","references/retrosynthesis.md","references/review.md"]},{"name":"torchforge-rl-training","description":"Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.","files":["SKILL.md","references/api-reference.md","references/troubleshooting.md"]},{"name":"tpscheck-automation","description":"Automate Tpscheck tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"trace","description":"Evidence-driven tracing lane that orchestrates competing tracer hypotheses in Claude built-in team mode","files":["SKILL.md"]},{"name":"trace-to-training-data","description":"Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.","files":["SKILL.md","references/conversion-recipes.md"]},{"name":"track-management","description":"Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.","files":["SKILL.md","references/details.md"]},{"name":"trailmark","description":"Builds and queries multi-language source and binary code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, entry point enumeration, proxy/unresolved-call tracking, type/reference queries, structural traversal, graph diffs, audit aug","files":["SKILL.md","agents/openai.yaml","references/preanalysis-passes.md","references/query-patterns.md"]},{"name":"trailmark-finding-triage","description":"Performs graph-assisted triage of a single security finding, SARIF result, weAudit annotation, suspicious function, or report excerpt using Trailmark reachability, entrypoint paths, taint, privilege-boundary, blast-radius, caller/callee, and neighborhood evidence. Use when deciding whether one candi","files":["SKILL.md","agents/openai.yaml","references/input-normalization.md","references/output-format.md","references/query-recipes.md"]},{"name":"trailmark-review-gate","description":"Runs a Trailmark structural review gate over a branch, pull request, fix commit, release diff, or git ref range to detect new entrypoints, new tainted paths, removed validation or authorization calls, privilege-boundary drift, blast-radius growth, complexity growth, and newly reachable sensitive sin","files":["SKILL.md","agents/openai.yaml","references/gate-rules.md","references/output-format.md","references/review-integration.md"]},{"name":"trailmark-structural","description":"Runs full Trailmark structural analysis by building a graph, running `preanalysis()`, and reporting hotspots, taint, blast radius, privilege boundaries, attack surface, and version-gated Trailmark 0.4+/0.5+ data such as proxy counts, subgraph edges, type/reference summaries, and entrypoint attribute","files":["SKILL.md","agents/openai.yaml"]},{"name":"trailmark-summary","description":"Runs a Trailmark summary analysis on a codebase. Returns auto-detected languages, entry point count, and dependency list. Use when vivisect or galvanize needs a quick structural overview. Triggers: trailmark summary, code summary, structural overview.","files":["SKILL.md","agents/openai.yaml"]},{"name":"trailmark-variant-neighborhood","description":"Expands one confirmed or suspected vulnerability into a Trailmark graph neighborhood of variant candidates by finding sibling functions, shared callers and callees, common sensitive sinks, common entrypoint paths, interface implementations, override relationships, type/reference neighbors, and struc","files":["SKILL.md","agents/openai.yaml","references/neighborhood-patterns.md","references/output-format.md","references/ranking.md"]},{"name":"training-llms-megatron","description":"Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used f","files":["SKILL.md","references/benchmarks.md","references/parallelism-guide.md","references/production-examples.md","references/training-recipes.md"]},{"name":"transformer-lens-interpretability","description":"Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.","files":["SKILL.md","references/README.md","references/api.md","references/tutorials.md"]},{"name":"transformers","description":"Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Applies when working with AutoModel, pipelines, tokenizers, generation configs, or TrainingArguments within Transformers.","files":["SKILL.md","references/generation.md","references/models.md","references/pipelines.md","references/review.md","references/tokenizers.md","references/training.md"]},{"name":"transformers-js","description":"Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Wor","files":["SKILL.md","references/CACHE.md","references/CONFIGURATION.md","references/EXAMPLES.md","references/MODEL_ARCHITECTURES.md","references/MODEL_REGISTRY.md","references/PIPELINE_OPTIONS.md","references/TEXT_GENERATION.md"]},{"name":"transilience-report-style","description":"Generate a Transilience-branded PDF report (pentest, vuln assessment, compliance, threat intel) from a single findings JSON using the bundled ReportLab generator. Use whenever an engagement needs its final report/deliverable PDF in Transilience house style.","files":["SKILL.md","reference/example-report-data.json","reference/generate_report.py","reference/report-data-schema.json","reference/test_generate_report.py"]},{"name":"transitgateway","description":"Configures AWS Transit Gateway: creating a hub and attaching VPCs, segmenting traffic with route tables, centralizing egress and inspection through a hub (appliances or a Gateway Load Balancer endpoint), forcing east-west traffic between VPCs through AWS Network Firewall, connecting on-premises netw","files":["SKILL.md","references/centralizing-egress-and-inspection.md","references/connecting-on-premises-networks.md","references/creating-a-transit-gateway-and-attaching-vpcs.md","references/inspecting-east-west-traffic-with-network-firewall.md","references/migrating-from-vpc-peering.md","references/peering-transit-gateways-across-regions.md","references/routing-multicast-traffic.md","references/segmenting-traffic-with-route-tables.md"]},{"name":"transloadit-media-processing","description":"Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for ","files":["SKILL.md"]},{"name":"treatment-plans","description":"Formats and structurally validates local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconcili","files":["SKILL.md","assets/clinician_authored_intervention_template.json","assets/goals_monitoring_checkpoint_template.json","assets/informed_preference_shared_decision_template.json","assets/intended_use_handoff_template.json","assets/source_fact_manifest_template.json","assets/transition_reconciliation_template.json","references/README.md","references/documentation_workflow.md","references/privacy_governance.md","references/safety_scope.md","references/security_validation.md","references/shared_decision_handoff.md","references/source_boundaries.md","references/source_ledger.md","scripts/_common.py","scripts/check_completeness.py","scripts/check_consistency.py","scripts/generate_template.py","scripts/privacy_process_check.py","scripts/timeline_generator.py","scripts/validate_traceability.py","scripts/validate_treatment_plan.py"]},{"name":"triage","description":"Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.","files":["SKILL.md","AGENT-BRIEF.md","OUT-OF-SCOPE.md","agents/openai.yaml"]},{"name":"triage-frontend-issues","description":"Triage new issues in the Sentry `javascript` project by archiving non-actionable noise. Use when asked to \"triage issues\", \"triage the javascript project\", \"archive non-actionable issues\", \"triage new frontend issues\", or \"clean up the sentry/javascript queue\". Operates only on the sentry/javascript","files":["SKILL.md","SPEC.md","references/archive-criteria.md"]},{"name":"triggercmd-automation","description":"Automate Triggercmd tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"tripadvisor-content-api-automation","description":"Automate TripAdvisor tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"trl-training","description":"Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.","files":["SKILL.md"]},{"name":"troubleshooting-application-failures","description":"Troubleshoots failing applications by discovering and analyzing CloudWatch log groups to identify error patterns, root causes, and actionable solutions. Use when an application is experiencing failures and log-based diagnosis is needed.","files":["SKILL.md","references/application-failure-troubleshooting.md"]},{"name":"troubleshooting-dbt-job-errors","description":"Diagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occ","files":["SKILL.md","references/investigation-template.md"]},{"name":"trpc-router","description":"Entry point for all tRPC skills. Decision tree routing by task: initTRPC.create(), t.router(), t.procedure, createTRPCClient, adapters, subscriptions, React Query, Next.js, links, middleware, validators, error handling, caching, FormData.","files":["SKILL.md"]},{"name":"tugboat","description":"Anxiety-aware, evidence-driven collaboration for stalled or high-stakes work when a user says uncertainty, repeated setbacks, or lack of visible progress is causing significant anxiety or distress. Use immediately when explicitly invoked; when this fit is only inferred from the user''s own account, ","files":["SKILL.md"]},{"name":"turborepo","description":"| Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the \"turbo\" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/","files":["SKILL.md","command/turborepo.md","references/best-practices/RULE.md","references/best-practices/dependencies.md","references/best-practices/packages.md","references/best-practices/structure.md","references/boundaries/RULE.md","references/caching/RULE.md","references/caching/gotchas.md","references/caching/remote-cache.md","references/ci/RULE.md","references/ci/github-actions.md","references/ci/patterns.md","references/ci/vercel.md","references/cli/RULE.md","references/cli/commands.md","references/configuration/RULE.md","references/configuration/global-options.md","references/configuration/gotchas.md","references/configuration/tasks.md","references/environment/RULE.md","references/environment/gotchas.md","references/environment/modes.md","references/filtering/RULE.md","references/filtering/patterns.md","references/watch/RULE.md"]},{"name":"turborepo-caching","description":"Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.","files":["SKILL.md"]},{"name":"turbot-pipes-automation","description":"Automate Turbot Pipes tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"turso-automation","description":"Automate Turso tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"twelve-data-automation","description":"Automate Twelve Data tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"twilio-account-setup","description":"Create and configure a Twilio account from scratch. Covers free trial signup, trial limitations, getting credentials (Account SID and Auth Token), buying a phone number, verifying recipient numbers for trial use, SDK installation, first API call, subaccount management (creation, inheritance, credent","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-agent-augmentation-architect","description":"Planning skill for augmenting human agents with real-time AI intelligence. Qualifies the developer's use case across coaching, compliance, QA, and routing to recommend the right Conversation Intelligence + Conversation Memory + TaskRouter architecture. Handles both \"I want to add AI coaching to my c","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-agent-connect","description":"twilio-agent-connect skill","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-ai-agent-architect","description":"Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills. Handles both high-level requests (\"build me a voice AI assistan","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-call-recordings","description":"Record Twilio voice calls correctly. Covers the critical distinction between Record verb (voicemail) and Dial record (call recording), dual-channel for QA, mid-call pause for PCI, Conference recording, and the ConversationRelay workaround. Use this skill whenever you need to capture call audio for c","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-cli-reference","description":"Twilio CLI reference for managing Twilio resources from the terminal. Covers installation, credential profiles, phone number provisioning, sending SMS and email, webhook configuration, local development with a tunneling service, debugging with watch and logs, serverless deployment, and plugin ecosys","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-compliance-onboarding","description":"Registrations required BEFORE Twilio traffic works. Covers messaging programs (A2P 10DLC, toll-free verification, WhatsApp WABA, RCS, short code, alphanumeric sender) and voice trust programs (STIR/SHAKEN, Voice Integrity, Branded Calling, CNAM). Each number/sender type has its own program — registr","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-compliance-traffic","description":"Rules you must follow for Twilio messaging and voice traffic. Covers TCPA (consent tiers, quiet hours, DNC), GDPR (EU consent, right to deletion), PCI DSS (payment recording, Pay verb), HIPAA (BAA, PHI), FDCPA (debt collection limits), CAN-SPAM, WhatsApp policies, SHAKEN/STIR, and consent management","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-conference-calls","description":"Build multi-party calls using Twilio Conference. Covers warm transfer, cold transfer, coaching (whisper), hold vs mute, participant modes, and supervisor barge. Use this skill for any contact center, support line, or scenario requiring transfers, holds, or multi-party calls.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-content-template-builder","description":"Create, manage, and send message templates using Twilio's Content API. Covers template creation for WhatsApp, SMS, RCS, and MMS; variable usage; WhatsApp Meta approval; and sending templates via ContentSid. Use this skill when building structured messages that require pre-approval or consistent form","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-conversation-intelligence","description":"Twilio Conversation Intelligence development guide. Use when building real-time or post-call conversation analysis, language operator pipelines, sentiment analysis, agent assist, cross-channel analytics, or querying aggregated conversation insights (sentiment trends, escalation rates, dashboards).","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-conversation-memory","description":"Store and retrieve conversation context using Twilio Conversation Memory. Covers Memory Store provisioning, profile management, traits, observations, conversation summaries, and semantic Recall. Use this skill to give AI agents or human agents persistent memory of conversations across sessions and c","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-conversation-orchestrator","description":"Configure automatic conversation capture and routing with Twilio Conversation Orchestrator. Covers Configuration creation, channel capture rules, grouping types, status timeouts, Memory Store linkage, Intelligence linkage, and conversation lifecycle. Use this skill to automatically capture SMS, voic","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-conversations-classic-api","description":"Build multi-channel messaging experiences using Twilio Conversations (classic) API. Covers creating conversations, adding participants (SMS, WhatsApp, chat), sending messages, and handling webhooks. Use this skill to manage persistent multi-party or multi-channel conversations beyond single-message ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-customer-support-architect","description":"Planning skill for building customer service and support systems. Qualifies the developer's needs across the support ladder (self-service → AI agents → contact center), channel mix, and scale to recommend the right Twilio architecture. Handles both \"build me a call center\" and \"add an IVR to my exis","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-debugging-observability","description":"Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow. Use this skill whenever a Twilio integration produces errors, mess","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-email-deliverability-advisor","description":"Deliverability advisor for the Twilio Email API specifically. Use ONLY when the developer explicitly mentions Twilio Email, comms.twilio.com, or a Twilio (non-SendGrid) email program. For all other deliverability questions — including generic ones — use twilio-sendgrid-deliverability-advisor.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-email-send","description":"Use when the caller has Twilio credentials (Account SID + Auth Token or API Key SID + Secret) and needs to send email via comms.twilio.com/v1/Emails. This is Twilio-native email — NOT SendGrid. Do NOT use if the caller has a SendGrid API key (SG.-prefix) — use twilio-sendgrid-email-send instead. Cov","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-enterprise-knowledge","description":"Add knowledge retrieval (RAG) to AI agents using Twilio Enterprise Knowledge. Covers provisioning Knowledge Bases, uploading sources from web URLs, PDFs, and raw text, and running semantic search to retrieve relevant chunks at runtime. Use this skill to ground agent responses in your organization's ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-iam-auth-setup","description":"Set up and manage Twilio authentication credentials: Auth Tokens, API keys (Standard, Main, Restricted), Access Tokens for client-side SDKs, and credential rotation. Use this skill as a prerequisite foundation before making any Twilio API calls.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-identity-verification-advisor","description":"Planning skill for identity verification and fraud prevention. Qualifies the developer's needs across authentication method, channel selection, fraud risk level, and user experience to recommend the right Twilio Verify + Lookup architecture. Handles login, signup, password reset, and risk-adaptive v","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-isv-sms-best-practices","description":"Best practices for ISVs (Independent Software Vendors) building SMS features into multi-tenant SaaS platforms using Twilio. Covers customer onboarding for A2P and toll-free compliance, subaccount architecture, sender management, billing patterns, and common ISV pitfalls. Use this when building SMS c","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-lookup-phone-intelligence","description":"Look up phone number intelligence via Twilio Lookup v2 API. Covers number validation, line type detection (mobile/landline/VoIP), SIM swap detection, caller name, identity match, and SMS pumping risk scoring. Use this skill to validate numbers or assess fraud risk before sending messages or calls.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-marketing-promotions-advisor","description":"Planning skill for marketing and promotional messaging. Use when a developer is figuring out how to set up or architect a marketing campaign on Twilio — channel selection, compliance readiness, audience size, geography, and delivery tracking. Handles open-ended requests like \"how do I set up a Whats","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-messaging-channel-advisor","description":"Planning skill that helps the developer pick the right Twilio messaging channel — SMS, MMS, RCS, or WhatsApp — for a given use case. Qualifies intent across content type, geography, use case (marketing / notifications / OTP / support), cost model, and brand presence. Use when the developer asks \"whi","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-messaging-overview","description":"Twilio Messaging channel overview and onboarding guide. Covers all channels (SMS, WhatsApp, RCS, Facebook Messenger), the unified Messages API, channel selection guidance, and the recommended setup sequence from first message to production monitoring. Start here before choosing a specific messaging ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-messaging-services","description":"Create and configure Twilio Messaging Services for production messaging. Covers sender pools, geo-match, sticky sender, message scheduling, compliance toolkit, SMS pumping protection, link shortening, and intelligent alerts. Use this skill when setting up production-ready messaging infrastructure.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-messaging-webhooks","description":"Receive and respond to inbound messages and track outbound delivery status via Twilio webhooks — across SMS, MMS, WhatsApp, and RCS. Covers webhook request parameters, replying with TwiML, validating webhook signatures for security, and handling status callbacks. Use this skill whenever an agent nee","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-migrate-messaging-to-verify","description":"Migrate an existing OTP / one-time-passcode flow from the Twilio Programmable Messaging API (self-built: generate code → send SMS → validate) to the Twilio Verify API (managed code generation, delivery, expiry, rate limiting, and Fraud Guard). Covers what Verify replaces, creating a Verify Service, ","files":["SKILL.md"]},{"name":"twilio-notifications-alerts-advisor","description":"Planning skill for transactional notifications, alerts, and reminders. Qualifies the developer's needs across urgency, channel selection, delivery confirmation, and fallback patterns to recommend the right Twilio notification architecture. Handles both \"send shipping updates to customers\" and \"build","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-numbers-senders","description":"Choose the right Twilio number type and sender BEFORE building. Covers phone numbers (local, toll-free, short code, mobile), alphanumeric sender IDs, WhatsApp senders, RCS agents, international availability, and regulatory bundles. Each number type has its own compliance program — choosing wrong mea","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-organizations-setup","description":"Set up and manage Twilio Organizations for centralized account and user governance. Covers the Organization > Account > Subaccount hierarchy, roles (Owner/Admin/Standard), managed vs independent accounts, domain registration, SSO enforcement, SCIM provisioning, and Organization merging. Use this ski","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-rcs-messaging","description":"Send RCS Business Messages via Twilio. Covers compliance onboarding (7-part US process), sender profile setup, sending rich cards and carousels, SMS fallback, device support (Android + iOS 18 caveats), and common errors. Use this skill when building RCS messaging or onboarding an RCS sender.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-regulatory-compliance-bundles","description":"Manage regulatory compliance for international phone numbers. Covers what bundles are, which countries require them, how to create End-Users and Supporting Documents, evaluate and submit bundles, fix evaluation failures, update bundles when regulations change, and ISV multi-account patterns. Use thi","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-reliability-patterns","description":"Handle rate limits, retries, and failures when building on Twilio at scale. Covers 429 exponential backoff with jitter, per-number throughput limits, StatusCallback resilience, thin-receiver pattern, and fallback chains. Use this skill whenever sending messages or making calls at volume, or when bui","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-security-api-auth","description":"Choose the right Twilio authentication method and implement it correctly. Covers Auth Token (testing only), API Keys (production standard), OAuth2 client_credentials (time-limited bearer tokens), Access Tokens (client-side SDKs), and test credentials. Use this skill before making any Twilio API call","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-security-compliance-hipaa","description":"Configure Twilio accounts for HIPAA compliance. Covers BAA requirements, HIPAA Project designation (self-service and support), eligible services list, per-product requirements (Voice, SMS, ConversationRelay, Conversation Intelligence, Flex, Verify), message redaction, and what is NOT eligible. Use t","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-security-hardening","description":"Secure Twilio applications against common attacks. Covers credential management (API keys vs auth tokens), request validation (webhook signature verification), PCI DSS compliance, HIPAA account requirements, SMS pumping prevention, geo-permissions, and account isolation patterns. Use this skill when","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-send-message","description":"Send messages via Twilio's Programmable Messaging API across all channels — SMS, MMS, RCS, and WhatsApp. Covers text messages, media, rich content (cards, carousels, buttons), template-based sends, Messaging Services, status callbacks, and WhatsApp's 24-hour service window. Use when the user wants t","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sendgrid-account-setup","description":"Set up a SendGrid account for email delivery. Covers API key creation (SG.-prefix), domain authentication (DKIM/SPF via CNAME records), Single Sender Verification for testing, SDK installation, and the relationship between SendGrid and Twilio credentials. Use before any other SendGrid skill. This sk","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sendgrid-deliverability-advisor","description":"Diagnostic and advisory skill for email deliverability problems. Use when a developer asks why emails are going to spam, not reaching the inbox, getting blocked, bouncing, or how to improve sender reputation — with or without a specified platform. Covers SendGrid-specific tooling: SPF, DKIM, DMARC, ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sendgrid-email-send","description":"Send transactional and bulk email via the SendGrid v3 Mail Send API. Covers single sends, personalized batch sends with dynamic templates, scheduled sends with cancellation, attachments, and sandbox mode for testing. Use this skill when the caller has a SendGrid API key (SG.-prefix). Do NOT use this","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sendgrid-email-settings","description":"Configure SendGrid dynamic templates (Handlebars), tracking settings (opens, clicks, subscriptions), link branding for custom tracking domains, and content types (HTML, plain text, AMP). Use when customizing SendGrid email content, tracking behavior, or branded links. Requires a SendGrid API key (SG","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sendgrid-engagement-quality","description":"Monitor email program health with SendGrid Engagement Quality (SEQ) scores. Covers the SEQ API endpoints, the 5 scoring metrics (engagement recency, open rate, bounce classification, bounce rate, spam rate), eligibility requirements, and interpreting scores for deliverability improvement. 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Covers all 11 event types (delivery + engagement), webhook handler implementation, ECDSA signature verification, batched event processing, and common debugging patterns. Use when building SendGrid delivery tracking, engagement analytic","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-sms-send-message","description":"SMS and MMS deep-dive reference. Covers SMS-specific error codes, message filtering troubleshooting (\"Messages Being Filtered or Blocked?\" diagnostic checklist), MMS media support (US/CA/AU only), and SMS pumping indicators. For sending SMS, use twilio-send-message instead. Use this skill only when ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-studio-flows","description":"Build and deploy Twilio Studio flows — visual IVR, SMS/WhatsApp, and conversation automation — by authoring the flow definition JSON and managing it through the Studio REST API. Covers the flow envelope, widgets, transitions, Liquid templating, the draft/published lifecycle, and when to use Studio v","files":["SKILL.md","agents/openai.yaml","references/widgets.md"]},{"name":"twilio-taskrouter-routing","description":"Route tasks to agents using Twilio TaskRouter. Covers Workers, Task Queues, Workflows, Reservations, skills-based routing, and common gotchas (hyphen attributes, HAS operator, reservation cascade). Use this skill for any multi-agent contact center, support queue, or AI agent escalation routing.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-verify-send-otp","description":"Send and verify one-time passcodes (OTPs) via Twilio Verify over SMS (auto-upgraded to RCS where supported), voice, email, or WhatsApp. Covers creating a Verify Service, sending tokens, checking submitted codes, automatic WhatsApp-to-SMS fallback, and service configuration. TOTP is supported via the","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-voice-conversation-relay","description":"Build AI-powered voice agents using Twilio ConversationRelay. Handles real-time speech recognition (ASR), text-to-speech (TTS), and bidirectional audio streaming via WebSocket. Covers TwiML setup, WebSocket message types, LLM integration, streaming responses, and voice provider configuration. Use th","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-voice-outbound-calls","description":"Make outbound phone calls via Twilio's Programmable Voice REST API. Covers the full voice platform: calls.create(), answering machine detection (AMD), conference-based agent bridging, call recording, status tracking, and SIP Trunking. Use this skill for outbound calls, sales dialers, or when asking ","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-voice-twiml","description":"Build voice call logic using TwiML (Twilio Markup Language). Covers the core verbs (Say, Play, Gather, Dial, Record, Conference), generating TwiML with Python and Node.js SDKs, and a complete inbound call IVR example. Use this skill to define call behavior for inbound or outbound calls.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-webhook-architecture","description":"Design, secure, and operate Twilio webhook endpoints. Covers inbound event handling, status callbacks, signature validation, connection overrides for retry and timeout tuning, local development tunneling, and production hardening. Use this skill whenever an agent needs to receive HTTP callbacks from","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-whatsapp-manage-senders","description":"Create, configure, and manage WhatsApp Business senders via Twilio's Channels Senders API. Covers programmatic sender registration, profile setup, webhook configuration, sender lifecycle statuses, and ISV flows. Use this skill to register and manage production WhatsApp senders at scale.","files":["SKILL.md","agents/openai.yaml"]},{"name":"twilio-whatsapp-send-message","description":"WhatsApp messaging deep-dive reference. Covers the 24-hour service window rules (free-form vs template mode), sandbox setup for testing, template approval workflow, production sender requirements, and WhatsApp-specific error handling. For sending WhatsApp messages, use twilio-send-message instead. U","files":["SKILL.md","agents/openai.yaml"]},{"name":"twitch-automation","description":"Automate Twitch tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"twitter-algorithm-optimizer","description":"Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.","files":["SKILL.md"]},{"name":"two-factor-authentication-best-practices","description":"Configure TOTP authenticator apps, send OTP codes via email/SMS, manage backup codes, handle trusted devices, and implement 2FA sign-in flows using Better Auth's twoFactor plugin. Use when users need MFA, multi-factor authentication, authenticator setup, or login security with Better Auth.","files":["SKILL.md"]},{"name":"twocaptcha-automation","description":"Automate Twocaptcha tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"typefully-automation","description":"Automate Typefully tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"typescript-advanced-types","description":"Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript proje","files":["SKILL.md","references/details.md"]},{"name":"typescript-best-practices","description":"Write idiomatic TypeScript patterns for clean, maintainable code. Use when writing or refactoring TypeScript classes, functions, modules, or async logic.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/examples.md"]},{"name":"typescript-language","description":"Apply modern TypeScript standards for type safety and maintainability. Use when working with types, interfaces, generics, enums, unions, or tsconfig settings.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md","references/TESTING.md"]},{"name":"typescript-magician","description":"Designs complex generic types, refactors `any` types to strict alternatives, creates type guards and utility types, and resolves TypeScript compiler errors. Use when the user asks about TypeScript (TS) types, generics, type inference, type guards, removing `any` types, strict typing, type errors, `i","files":["SKILL.md","rules/array-index-access.md","rules/as-const-typeof.md","rules/builder-pattern.md","rules/conditional-types.md","rules/deep-inference.md","rules/error-diagnosis.md","rules/function-overloads.md","rules/generics-basics.md","rules/infer-keyword.md","rules/mapped-types.md","rules/opaque-types.md","rules/template-literal-types.md","rules/type-narrowing.md","rules/utility-types.md","tile.json"]},{"name":"typescript-mcp-server-generator","description":"Generate a complete MCP server project in TypeScript using the MCP TypeScript SDK v2 (@modelcontextprotocol/server) with tools, resources, and proper configuration","files":["SKILL.md"]},{"name":"typescript-migration","description":"TypeScript version migration guide (5.x to 6 to 7, tsgo native port). Use for TS 6 tsconfig breaking changes, TS 7 Go rewrite rollout, or TS5xxx deprecation codes.","files":["SKILL.md","references/ecosystem-compatibility.md","references/migration-playbooks.md","references/ts-migrating-tool-guide.md","references/ts6-breaking-changes.md","references/ts7-go-rewrite.md","references/unverified-claims.md","scripts/README.md","scripts/audit-ts7-breakers.sh","scripts/compare-tsc7-tsc6.sh","scripts/detect-ts-version.sh","scripts/ts6-deprecation-scan.sh","templates/github-actions-tsc-tsc6.yml","templates/package.side-by-side.json","templates/tsconfig.ts6.json","templates/tsconfig.ts7.json"]},{"name":"typescript-pro","description":"Implements advanced TypeScript type systems, creates custom type guards, utility types, and branded types, and configures tRPC for end-to-end type safety. Use when building TypeScript applications requiring advanced generics, conditional or mapped types, discriminated unions, monorepo setup, or full","files":["SKILL.md","references/advanced-types.md","references/configuration.md","references/patterns.md","references/type-guards.md","references/utility-types.md"]},{"name":"typescript-security","description":"Secure server-side TypeScript input, auth tokens, and injection boundaries. Use for API/request validation, sanitization, secrets, and sensitive configuration; defer client-only React form validation and generic linting.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"typescript-tooling","description":"Development tools, linting, and build config for TypeScript. Use when configuring ESLint, Prettier, Jest, Vitest, tsconfig, or any TS build tooling.","files":["SKILL.md","evals/evals.json","references/REFERENCE.md"]},{"name":"typespec-api-operations","description":"Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards","files":["SKILL.md"]},{"name":"typespec-create-agent","description":"Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot","files":["SKILL.md"]},{"name":"typespec-create-api-plugin","description":"Generate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 Copilot","files":["SKILL.md"]},{"name":"typing-exclusion-worker","description":"Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.","files":["SKILL.md"]},{"name":"typless-automation","description":"Automate Typless tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"u301-automation","description":"Automate U301 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ucp","description":"Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search (\\\"find me X under $Y\\\"), named-merchant transactions (\\\"buy this from ","files":["SKILL.md","scripts/log_feedback.mjs","scripts/log_skill_use.mjs","scripts/track-telemetry.ps1","scripts/track-telemetry.sh"]},{"name":"ugc","description":"Plan and run UGC-style creator ads and social proof videos with genmedia. Use this for direct-to-camera creator scripts, talking-head ads, product demos, testimonials, founder clips, unboxing, reaction, before-after, faceless voiceover, and short vertical social videos.","files":["SKILL.md","references/examples.md","references/formats.md","references/workflows.md"]},{"name":"ui-demo","description":"Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.","files":["SKILL.md"]},{"name":"ui-screenshots","description":"Capture screenshots of web apps during development using Playwright and PIL. Supports full-page captures, interactive states, and an iterate-on-crop workflow that avoids slow re-screenshots.","files":["SKILL.md"]},{"name":"ui-to-vue","description":"Use when the user has UI screenshots or design exports that need batch conversion into Vue 3 components, especially with Vant, Element Plus, or Ant Design Vue.","files":["SKILL.md"]},{"name":"ui-widget-developer","description":"Build MCP servers for Copilot Chat using the OpenAI Apps SDK or MCP Apps SDK widget rendering support (any language). Use this skill when:\n- Creating MCP servers that integrate with M365 Copilot declarative agents\n- Building rich interactive widgets (React + Fluent UI) that render in Copilot Chat\n- ","files":["SKILL.md","references/best-practices.md","references/copilot-widget-protocol.md","references/devtunnels.md","references/mcp-server-pattern.md","references/plugin-schema.md","references/widget-patterns.md"]},{"name":"ultracave","description":"Caveman at maximum compression: fragments, one word when one word is enough, each fact once. Invoke only with /ultracave or /caveman ultra. Stays on until \"stop caveman\" or \"normal mode\".","files":["SKILL.md","README.md"]},{"name":"ultragoal","description":"Durable multi-goal workflow that persists plan/ledger artifacts under .omc/ultragoal and prints Claude /goal handoff text for the active session","files":["SKILL.md"]},{"name":"umap-learn","description":"Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.","files":["SKILL.md","references/api_reference.md"]},{"name":"uncertainty-and-units","description":"Tracks physical units and propagates measurement uncertainty in scientific calculations using pint and uncertainties. Use for unit conversion and dimensional checking, GUM uncertainty budgets, Type A and Type B evaluation, coverage factors and expanded uncertainty, Monte Carlo propagation, significa","files":["SKILL.md","references/domain-conversions.md","references/gum-methodology.md","references/pint-recipes.md","references/plausibility-scales.md","references/reporting-rules.md","references/review.md","references/uncertainties-recipes.md","scripts/_common.py","scripts/audit_units.py","scripts/check_plausibility.py","scripts/convert_units.py","scripts/format_result.py","scripts/propagate_uncertainty.py","scripts/uncertainty_budget.py"]},{"name":"uncloud","description":"Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.","files":["SKILL.md"]},{"name":"unfreeze","description":"Clear the freeze boundary set by /freeze, allowing edits to all directories again. (gstack)","files":["SKILL.md"]},{"name":"unified-memory","description":"Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.","files":["SKILL.md"]},{"name":"unified-notifications-ops","description":"Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.","files":["SKILL.md"]},{"name":"unione-automation","description":"Automate Unione tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"unit-test-vue-pinia","description":"Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases. Use when creating or updating tests for components, composables, and stores; mocking Pinia with createTestingPinia; applying Vue Test Utils patterns; and enforcing black-box assertions over implementation details.","files":["SKILL.md","references/pinia-patterns.md"]},{"name":"unittest-skill","description":"Generates Python unittest tests. Built-in testing framework with TestCase, setUp/tearDown, and assertion methods. Use when user mentions \"unittest\", \"TestCase\", \"self.assertEqual\", \"Python unittest\". Triggers on: \"unittest\", \"TestCase\", \"self.assertEqual\", \"Python unittest\" (not pytest).","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"unity-ecs-patterns","description":"Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.","files":["SKILL.md","references/details.md"]},{"name":"unix-cli-best-practices","description":"Safe, portable, and efficient command-line patterns for macOS/BSD Unix tools (grep, find, sed, awk, xargs, mdfind, pbcopy, open) and modern alternatives (ripgrep, fd). Covers common shell scripting and one-liner use cases including fast searching, text processing, codebase navigation, and parallel e","files":["SKILL.md"]},{"name":"unknowns-discovery","description":"Discover and reduce task unknowns — blindspots, missing context, and unknown unknowns — before committing to a plan, implementation, review, or merge.","files":["SKILL.md","assets/templates/assumptions-register.md","assets/templates/blindspot-pass.md","assets/templates/brainstorm-prototype.md","assets/templates/buy-in-doc.md","assets/templates/domain-vocabulary-ladder.md","assets/templates/implementation-notes.md","assets/templates/merge-readiness-quiz.md","assets/templates/one-question-interview.md","assets/templates/prompt-upgrade.md","assets/templates/reference-semantics-map.md","assets/templates/tweakable-plan.md","assets/templates/unknowns-matrix.md","examples/coding-auth-provider.md","examples/generated-blindspot-starter.md","examples/product-design-dashboard.md","examples/research-project.md","references/ARTICLE_DIGEST.md","references/EVALUATION.md","references/OUTPUT_SCHEMAS.md","references/PROMPT_PATTERNS.md","references/SOURCE_INDEX.md","references/TRACEABILITY.md","references/WORKFLOWS.md","scripts/make_unknowns_artifact.py","scripts/validate_skill.py"]},{"name":"unocss","description":"UnoCSS instant atomic CSS engine, superset of Tailwind CSS. Use when configuring UnoCSS, writing utility rules, shortcuts, or working with presets like Wind, Icons, Attributify.","files":["SKILL.md","GENERATION.md","references/core-config.md","references/core-extracting.md","references/core-layers.md","references/core-processors.md","references/core-rules.md","references/core-safelist.md","references/core-shortcuts.md","references/core-theme.md","references/core-variants.md","references/integrations-nuxt.md","references/integrations-vite.md","references/preset-attributify.md","references/preset-icons.md","references/preset-mini.md","references/preset-rem-to-px.md","references/preset-tagify.md","references/preset-typography.md","references/preset-web-fonts.md","references/preset-wind3.md","references/preset-wind4.md","references/transformer-attributify-jsx.md","references/transformer-compile-class.md","references/transformer-directives.md","references/transformer-variant-group.md"]},{"name":"update-avm-modules-in-bicep","description":"Update Azure Verified Modules (AVM) to latest versions in Bicep files.","files":["SKILL.md"]},{"name":"update-implementation-plan","description":"Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.","files":["SKILL.md"]},{"name":"update-llms","description":"Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/","files":["SKILL.md"]},{"name":"update-markdown-file-index","description":"Update a markdown file section with an index/table of files from a specified folder.","files":["SKILL.md"]},{"name":"update-specification","description":"Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.","files":["SKILL.md"]},{"name":"updown-io-automation","description":"Automate Updown IO tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"upgrade-stripe","description":"Guide for upgrading Stripe API versions, webhook endpoints, server-side SDKs, Stripe.js, and mobile SDKs","files":["SKILL.md"]},{"name":"upgrading-mwaa-environments","description":"Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary. Computes the version-jump path, inserting the 2.11.x stepping-stone and Python-transition step when needed. Chooses an approach by whether run history and the same environment (URL/AR","files":["SKILL.md","references/airflow2-to-3-checklist.md","references/airflow2-to-3-quick-reference.md","references/discovery-preflight.md","references/mwaa-version-matrix.md","references/plan-materialization.md","references/strategy-blue-green-fresh.md","references/strategy-inplace-direct.md","references/strategy-inplace-green-validated.md","references/upgrade-engine.md"]},{"name":"upstash-redis","description":"Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit. Use when the user mentions Upstash Redis, needs Redis from a Next.js route handler or middleware, Vercel, Cloudflare Workers, Deno, or Bun without TCP connection pooling, or want","files":["SKILL.md"]},{"name":"upstream-patches","description":"Create, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.","files":["SKILL.md","agents/openai.yaml","use_cases.yaml"]},{"name":"uptimerobot-automation","description":"Automate Uptimerobot tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"use-case-specification","description":"Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly decl","files":["SKILL.md"]},{"name":"userlist-automation","description":"Automate Userlist tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"usfiscaldata","description":"Queries the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government r","files":["SKILL.md","references/api-basics.md","references/datasets-debt.md","references/datasets-fiscal.md","references/datasets-interest-rates.md","references/datasets-securities.md","references/examples.md","references/parameters.md","references/response-format.md"]},{"name":"using-agent-skills","description":"Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or workflow applies to the piece of work at hand. This is the meta-skill that governs how all other skills are discovered and invoked.","files":["SKILL.md"]},{"name":"using-dbt-for-analytics-engineering","description":"Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.","files":["SKILL.md","references/debugging-dbt-errors.md","references/discovering-data.md","references/evaluating-impact-of-a-dbt-model-change.md","references/managing-packages.md","references/planning-dbt-models.md","references/writing-data-tests.md","references/writing-documentation.md","scripts/review_run_results.md"]},{"name":"using-dbt-state","description":"Use when a user is enabling, configuring, optimizing, or debugging dbt State (the server-backed reuse mechanism that clones or skips nodes instead of rebuilding them). Use when they conflate dbt State with the `state:modified` selector or `--state` deferral. Use when asked about models rebuilding un","files":["SKILL.md"]},{"name":"using-git-worktrees","description":"Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback","files":["SKILL.md"]},{"name":"using-superpowers","description":"Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions","files":["SKILL.md","references/antigravity-tools.md","references/claude-code-tools.md","references/codex-tools.md","references/gemini-tools.md","references/hermes-tools.md","references/muse-tools.md","references/pi-tools.md"]},{"name":"v-development","description":"Guide GitHub Copilot through V language development: installing the toolchain, project layout with v.mod, building, testing, formatting, and writing idiomatic V including Option/Result error handling. Use when the user works with V source files, v.mod projects, or asks about V syntax, tooling, and c","files":["SKILL.md"]},{"name":"v0-automation","description":"Automate V0 tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"vaex","description":"Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations fro","files":["SKILL.md","references/core_dataframes.md","references/data_processing.md","references/io_operations.md","references/machine_learning.md","references/performance.md","references/review.md","references/visualization.md"]},{"name":"validate-skills","description":"Validates skills in this repo against agentskills.io spec and Claude Code best practices. Use via /validate-skills command.","files":["SKILL.md"]},{"name":"validators","description":"Configure input and output validation with .input() and .output() using Zod, Yup, Superstruct, ArkType, Valibot, Effect, or custom validator functions. Chain multiple .input() calls to merge object schemas. Standard Schema protocol support. Output validation returns INTERNAL_SERVER_ERROR on failure.","files":["SKILL.md"]},{"name":"vardoger-analyze","description":"Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~/.copilot/session-state/`, extracts recurring preferences and conventions, and writes a fenced","files":["SKILL.md"]},{"name":"variant","description":"Builds multiple variants of a component you're working on and helps you iterate and pick one.","files":["SKILL.md","agents/openai.yaml","picker.md"]},{"name":"variant-analysis","description":"Hunts for the other instances of a bug already found — the variants of one root cause across a codebase. Use immediately after a vulnerability, logic bug, or bad pattern turns up in a specific file and the question becomes where else it occurs, including the bare conversational form (\"are there othe","files":["SKILL.md","agents/openai.yaml","references/reporting.md","references/root-cause.md","references/searching.md","references/triage.md","resources/semgrep/cpp.yaml","resources/semgrep/go.yaml","resources/semgrep/java.yaml","resources/semgrep/javascript.yaml","resources/semgrep/python.yaml","resources/variant-report-template.md"]},{"name":"vcpkg","description":"Guide for setting up vcpkg in C++ projects, managing dependency versions, and cross-compiling. Covers manifest initialization, CMake and Visual Studio integration, classic-to-manifest migration, version pinning, baselines, overrides, triplets, and cross-compilation. Use when a user is working with v","files":["SKILL.md","references/ci.md","references/registries.md","references/troubleshooting.md"]},{"name":"vector-index-tuning","description":"Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.","files":["SKILL.md","references/details.md"]},{"name":"vendor-management","description":"Implement vendor risk management programs. Assess third-party security and maintain vendor inventory. Use when managing supplier security.","files":["SKILL.md"]},{"name":"venice-api-keys","description":"Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, per-key consumption limits (USD / DIEM) with EPOCH / MONTH / LIFETIME rese","files":["SKILL.md"]},{"name":"venice-api-overview","description":"High-level map of the Venice.ai API - base URL, which auth mode each endpoint accepts (API key, x402 wallet, or none), endpoint categories (including decisions, voice changer, and retired routes), response headers (rate limit, balance, deprecation, x402), pricing model, error shape, and versioning. ","files":["SKILL.md"]},{"name":"venice-audio-music","description":"Async music, sound-effect and long-form voice generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental and the lyrics optimizer, duration options, seamless loop (ElevenLabs sound effects), voice selection incl. custom ElevenL","files":["SKILL.md"]},{"name":"venice-audio-speech","description":"Generate speech from text via POST /audio/speech, and clone a voice via POST /audio/voices. Covers TTS models (Kokoro, Qwen 3, xAI, Inworld, Chatterbox, Orpheus, ElevenLabs Turbo, MiniMax, Gemini Flash, Gradium), voices per model, cloned-voice handles and raw ElevenLabs Voice IDs, per-model output f","files":["SKILL.md"]},{"name":"venice-audio-transcription","description":"Transcribe audio files to text via POST /audio/transcriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), accepted containers (wav/flac/m4a/aac/mp4/mp3/ogg/webm), response formats (json/text only), per-model timestamps (word/segment/char), language hints, the 25 MB cap, an","files":["SKILL.md"]},{"name":"venice-audio-voice-changer","description":"Async speech-to-speech voice conversion via Venice — re-record a source recording in a different voice while keeping delivery and timing. Covers POST /audio/voice-changer/quote (unauthenticated), /queue (multipart file or JSON audio_url), /retrieve and /complete, how to discover voice-changer models","files":["SKILL.md"]},{"name":"venice-augment","description":"Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/EPUB/DOCX/PPTX/XLSX/XLS, plain text and source code; multipart, up to 25MB; JSON or plain-text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit and private/inte","files":["SKILL.md"]},{"name":"venice-auth","description":"Authenticate to the Venice API with a Bearer API key or with an x402 / SIWX wallet (EVM on Base, including EIP-1271 smart wallets, or Ed25519 on Solana). Covers which endpoints accept which scheme, the SIGN-IN-WITH-X header format, the SIWE and Solana message fields, the enforced TTL / clock-skew / ","files":["SKILL.md"]},{"name":"venice-billing","description":"Venice billing and usage analytics - GET /billing/balance, GET /billing/usage-history (keyset-paginated per-request ledger, JSON or CSV), and GET /billing/usage-analytics (aggregated by date/model/key). All require an ADMIN key. GET /billing/usage was sunset on 2026-09-16 and now always returns 410.","files":["SKILL.md"]},{"name":"venice-characters","description":"Discover and use Venice public characters (persona-driven system prompts with a suggested model). Covers GET /characters (search/filter/sort/paginate), /characters/{slug}, /characters/{slug}/reviews, the Character and Review schemas, Bearer-API-key-only auth, filter semantics (adult, pro, modelId), ","files":["SKILL.md"]},{"name":"venice-chat","description":"Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, scraping, citations, E2EE, characters, thinking control, X search), anon_user_id, multimodal inputs (images/audio/video/files), tool calls, reasoning controls (reasoning_effo","files":["SKILL.md"]},{"name":"venice-crypto-rpc","description":"Use Venice as a pay-per-call JSON-RPC proxy to 27 EVM, Starknet, and Solana networks. Covers the public GET /crypto/rpc/networks, POST /crypto/rpc/{network}, chain families and their explicit per-family method allowlists, the 1×/2×/4× method-tier pricing model (~$7e-7 per credit), the per-minute rat","files":["SKILL.md"]},{"name":"venice-decisions","description":"Call Venice's Beta POST /decisions (and its TypeSafe-compatible alias POST /systemone) to get typed judgments instead of generated text. Covers the Jev \"System One\" decision model (jev-latest, aliases jev-1-13-0 / typesafe-jev), the state + questions request shape, the three question/answer types (n","files":["SKILL.md"]},{"name":"venice-embeddings","description":"Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), text-only input (token arrays rejected), per-input and batch limits, per-model dimensions/privacy, the text-embedding-ada-002 alias, API-key privacy gating, OpenAI/LangChain compatibility, respon","files":["SKILL.md"]},{"name":"venice-errors","description":"Handle Venice API errors correctly. Covers the error body shapes (StandardError, DetailedError with validation details/issues, OpenAI-style context_length_exceeded, upstream provider rejections with request_id including TypeSafe/FastAPI validation errors, ContentViolationError, ProviderContentPolicy","files":["SKILL.md"]},{"name":"venice-image-edit","description":"Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose several images, per-model input cap, quality tiers), /image/upscale (2x–4x upscale with creativity), and /image/background-remove (transparent PNG cutout). Input formats (base","files":["SKILL.md"]},{"name":"venice-image-generate","description":"Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, width/height, aspect_ratio, resolution, quality, cfg_scale, steps, seed, variants, style_preset, style_references, enhanc","files":["SKILL.md"]},{"name":"venice-models","description":"Discover Venice models, their capabilities, constraints, and pricing. Covers GET /models (with the ?type filter - text, image, video, music, tts, asr, embedding, upscale, inpaint, decision, all, code), /models/traits, /models/compatibility_mapping, every ModelResponse field (capabilities, constraint","files":["SKILL.md"]},{"name":"venice-responses","description":"Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible, stateless Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, input items, tools (function, web_search, x_search), reasoning controls, incomplete responses, streaming ev","files":["SKILL.md"]},{"name":"venice-video","description":"Generate videos via Venice. Covers the async /video/quote + /video/queue + /video/retrieve + /video/complete loop, text-to-video, image-to-video, first/last-frame transitions, video-to-video and upscale, audio input, reference images / videos / audio (R2V) and their per-model caps, Kling elements an","files":["SKILL.md"]},{"name":"venice-x402","description":"Manage Venice x402 wallet credits. Covers POST /x402/top-up (payment discovery + signed USDC settlement, $5 min / $10,000 max), GET /x402/balance/{walletAddress}, GET /x402/transactions/{walletAddress}, USDC on Base (eip155:8453) and Solana mainnet, the PAYMENT-SIGNATURE / SIGN-IN-WITH-X header name","files":["SKILL.md"]},{"name":"venly-automation","description":"Automate Venly tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"venue-templates","description":"Prepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Supports selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submis","files":["SKILL.md","assets/examples/cell_summary_example.md","assets/examples/medical_structured_abstract.md","assets/examples/nature_abstract_examples.md","assets/examples/neurips_introduction_example.md","references/cell_press_style.md","references/conferences_formatting.md","references/cs_conference_style.md","references/current_sources.md","references/grants_requirements.md","references/journals_formatting.md","references/medical_journal_styles.md","references/ml_conference_style.md","references/nature_science_style.md","references/posters_guidelines.md","references/reviewer_expectations.md","references/venue_writing_styles.md","scripts/customize_template.py","scripts/query_template.py","scripts/validate_format.py"]},{"name":"veo-automation","description":"Automate Veo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"vercel-cli-with-tokens","description":"Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. \"deploy to vercel\", \"set up vercel\", \"add environment variables to vercel\".","files":["SKILL.md"]},{"name":"vercel-composition-patterns","description":"# React Composition Patterns","files":["SKILL.md","AGENTS.md","README.md","metadata.json","rules/_sections.md","rules/_template.md","rules/architecture-avoid-boolean-props.md","rules/architecture-compound-components.md","rules/patterns-children-over-render-props.md","rules/patterns-explicit-variants.md","rules/react19-no-forwardref.md","rules/state-context-interface.md","rules/state-decouple-implementation.md","rules/state-lift-state.md"]},{"name":"vercel-deployments","description":"Deploy frontend and full-stack apps on Vercel with previews, edge functions, environment promotion, and production guardrails. Use when shipping Next.js, SvelteKit, or static sites with zero-config CI/CD.","files":["SKILL.md"]},{"name":"vercel-react-view-transitions","description":"Guide for implementing smooth, native-feeling animations using React's View Transition API (`<ViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animat","files":["SKILL.md","AGENTS.md","README.md","metadata.json","references/css-recipes.md","references/implementation.md","references/nextjs.md","references/patterns.md","references/troubleshooting.md"]},{"name":"verification-before-completion","description":"Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always","files":["SKILL.md"]},{"name":"verification-loop","description":"Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must","files":["SKILL.md"]},{"name":"verified-email","description":"Provides a complete workflow for implementing verified email retrieval","files":["SKILL.md","references/android/identity/credential-manager/index.md","references/android/identity/digital-credentials/credential-verifier.md","references/android/identity/digital-credentials/email-verification-implementation.md","references/android/identity/digital-credentials/email-verification.md","references/android/identity/digital-credentials/index.md","references/android/identity/passkeys/create-passkeys.md","references/android/identity/sign-in/credential-manager-webview.md"]},{"name":"verifiedemail-automation","description":"Automate Verifiedemail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"verify","description":"Verify that a change really works before you claim completion","files":["SKILL.md"]},{"name":"verify-agent-action","description":"Review a proposed AI-agent action or human-approval packet before execution. Use when an agent wants to run a consequential tool, command, deployment, message, purchase, credential operation, or data mutation; when checking whether approval still matches the exact action; or when auditing action evi","files":["SKILL.md"]},{"name":"verify-and-stop","description":"Prove existing work meets acceptance conditions without expanding scope. Use for validation-only tasks, completion checks, focused gate runs, and last-mile proof.","files":["SKILL.md","agents/openai.yaml"]},{"name":"veriphone-automation","description":"Automate Veriphone tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"verl-rl-training","description":"Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.","files":["SKILL.md","references/api-reference.md","references/troubleshooting.md"]},{"name":"vero-automation","description":"Automate Vero tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"vestaboard-automation","description":"Automate Vestaboard tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"video-editing","description":"AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video ","files":["SKILL.md","assets/fusion/ito-production-v1/README.md","assets/fusion/ito-production-v1/install_ito_production_v1.lua","assets/fusion/ito-production-v1/provenance.json","assets/fusion/ito-v28/README.md","assets/fusion/ito-v28/install_ito_v28.lua","assets/fusion/ito-v28/provenance.json"]},{"name":"video-interaction-mapper","description":"This skill should be used when the user asks to analyze a UI screen recording and map interaction states into Figma. Trigger for requests such as \"put video frames in Figma\", \"extract states from my recording\", \"map interactions from video to Figma\", \"analyze this screen recording\", \"create a storyb","files":["SKILL.md","README.md","scripts/extract_key_frames.py","scripts/generate_figma_calls.py","scripts/prepare_upload_frames.py","scripts/resolve_moment_frames.py","scripts/update_run_manifest.py"]},{"name":"videodb","description":"Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts ","files":["SKILL.md","reference/api-reference.md","reference/capture-reference.md","reference/capture.md","reference/editor.md","reference/generative.md","reference/rtstream-reference.md","reference/rtstream.md","reference/search.md","reference/streaming.md","reference/use-cases.md","scripts/ws_listener.py"]},{"name":"virustotal-automation","description":"Automate Virustotal tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"visa-doc-translate","description":"Translate visa document images (bank deposit, employment, income, and retirement certificates; HEIC, PNG, or JPG) into English via OCR and produce a bilingual PDF pairing the original image with a formatted certified-style translation. Use when a visa application needs a document translated to Engli","files":["SKILL.md","README.md"]},{"name":"vision-sft","description":"Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.","files":["SKILL.md","references/collators-and-pitfalls.md"]},{"name":"visme-automation","description":"Automate Visme tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"visual-design-foundations","description":"Apply typography, color theory, spacing systems, and iconography principles to create cohesive visual designs. Use when establishing design tokens, building style guides, or improving visual hierarchy and consistency.","files":["SKILL.md","references/color-systems.md","references/spacing-iconography.md","references/typography-systems.md"]},{"name":"visual-edit-precision","description":"Use when making UI/frontend changes guided by visual context, when the user selects elements visually, draws annotations, or provides screenshots alongside change requests. Also use when editing components where spatial context (element identity, DOM references, layout data) supplements text instruc","files":["SKILL.md"]},{"name":"visual-verdict","description":"Structured visual QA verdict for screenshot-to-reference comparisons","files":["SKILL.md"]},{"name":"vite","description":"Vite build tool configuration, plugin API, SSR, and Vite 8 Rolldown migration. Use when working with Vite projects, vite.config.ts, Vite plugins, or building libraries/SSR apps with Vite.","files":["SKILL.md","GENERATION.md","references/build-and-ssr.md","references/core-config.md","references/core-features.md","references/core-plugin-api.md","references/environment-api.md","references/rolldown-migration.md"]},{"name":"vite-patterns","description":"Vite build tool patterns including config, plugins, HMR, env variables, proxy setup, SSR, library mode, dependency pre-bundling, and build optimization. Activate when working with vite.config.ts, Vite plugins, or Vite-based projects.","files":["SKILL.md"]},{"name":"vitepress","description":"VitePress static site generator powered by Vite and Vue. Use when building documentation sites, configuring themes, or writing Markdown with Vue components.","files":["SKILL.md","GENERATION.md","references/advanced-i18n.md","references/advanced-ssr.md","references/core-cli.md","references/core-config.md","references/core-markdown.md","references/core-routing.md","references/features-code-blocks.md","references/features-data-loading.md","references/features-dynamic-routes.md","references/features-vue.md","references/recipes-deploy.md","references/theme-config.md","references/theme-custom.md","references/theme-customization.md"]},{"name":"vitest","description":"Vitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.","files":["SKILL.md","GENERATION.md","references/advanced-environments.md","references/advanced-projects.md","references/advanced-type-testing.md","references/advanced-vi.md","references/core-cli.md","references/core-config.md","references/core-describe.md","references/core-expect.md","references/core-hooks.md","references/core-test-api.md","references/features-benchmarking.md","references/features-concurrency.md","references/features-context.md","references/features-coverage.md","references/features-filtering.md","references/features-mocking.md","references/features-reporters.md","references/features-snapshots.md","references/features-test-tags.md"]},{"name":"vitest-skill","description":"Generates Vitest tests in JavaScript/TypeScript with Vite-native speed. Jest-compatible API with ESM support and HMR. Use when user mentions \"Vitest\", \"vi.mock\", \"vitest.config\". Triggers on: \"Vitest\", \"vi.mock\", \"vi.fn\", \"Vite test\", \"vitest config\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"vitest-testing","description":"Modern TypeScript/JavaScript testing with Vitest. Fast unit and integration tests, native ESM support, Vite-powered HMR, and comprehensive mocking. Use for testing TS/JS projects.","files":["SKILL.md"]},{"name":"vllm-server","description":"Deploy and manage vLLM for high-throughput LLM inference. Configure continuous batching, tensor parallelism, quantization, and OpenAI-compatible API endpoints for production LLM serving.","files":["SKILL.md"]},{"name":"vscode-ext-commands","description":"Guidelines for contributing commands in VS Code extensions. Indicates naming convention, visibility, localization and other relevant attributes, following VS Code extension development guidelines, libraries and good practices","files":["SKILL.md"]},{"name":"vscode-ext-localization","description":"Guidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practices","files":["SKILL.md"]},{"name":"vss-ask-video","description":"Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.","files":["SKILL.md","BENCHMARK.md","evals/base_profile_video_understanding.json","evals/evals.json","skill-card.md"]},{"name":"vss-generate-video-report","description":"Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.","files":["SKILL.md","BENCHMARK.md","assets/incident-range-report.md","assets/video-analysis-report.md","evals/base_profile_report.json","evals/evals.json","skill-card.md"]},{"name":"vss-manage-alerts","description":"Use for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. Not for non-alert analytics.","files":["SKILL.md","BENCHMARK.md","config/skillspector-baseline.yml","evals/alerts_vlm_real_time.json","evals/evals.json","evals/routing_vlm_c_vs_d.json","evals/subscriptions_create_phrasings.json","evals/subscriptions_lifecycle.json","references/alert-notify.md","references/alert-subscriptions.md","references/cv-verifier-prompts.md","scripts/alert-notify/incident_utils.py","scripts/alert-notify/notifier_base.py","scripts/alert-notify/open_claw_dashboard_notifier.py","scripts/alert-notify/requirements.txt","scripts/alert-notify/server.py","scripts/alert-notify/slack_notifier.py","skill-card.md"]},{"name":"vss-query-analytics","description":"Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). Not for live VLM or incident-range narrative reports.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/query_analytics.json","skill-card.md"]},{"name":"vss-search-archive","description":"Use this skill to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. Do NOT use for ad-hoc visual Q&A (use vss-ask-video), live captioning (use vss-deploy-dense-captioning), or video summarization and reports (use vss-summarize-video).","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/search.json","references/discovery_modes.md","references/troubleshooting.md","skill-card.md"]},{"name":"vss-setup-behavior-analytics","description":"Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/standalone_deploy.json","references/configuration.md","references/deploy-behavior-analytics-service.md","references/dynamic-calibration.md","references/dynamic-config.md","references/ngc-api-key-registry-login.md","skill-card.md"]},{"name":"vss-setup-video-analytics-api","description":"Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.","files":["SKILL.md","BENCHMARK.md","evals/evals.json","evals/standalone_deploy.json","references/configuration.md","references/deploy-video-analytics-api-service.md","references/ngc-api-key-registry-login.md","skill-card.md"]},{"name":"vue","description":"Vue 3 Composition API, script setup macros, reactivity system, and built-in components. Use when writing Vue SFCs, defineProps/defineEmits/defineModel, watchers, or using Transition/Teleport/Suspense/KeepAlive.","files":["SKILL.md","GENERATION.md","references/advanced-patterns.md","references/core-new-apis.md","references/script-setup-macros.md"]},{"name":"vue-best-practices","description":"MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requir","files":["SKILL.md","references/animation-class-based-technique.md","references/animation-state-driven-technique.md","references/component-async.md","references/component-data-flow.md","references/component-fallthrough-attrs.md","references/component-keep-alive.md","references/component-slots.md","references/component-suspense.md","references/component-teleport.md","references/component-transition-group.md","references/component-transition.md","references/composables.md","references/directives.md","references/perf-avoid-component-abstraction-in-lists.md","references/perf-v-once-v-memo-directives.md","references/perf-virtualize-large-lists.md","references/plugins.md","references/reactivity.md","references/render-functions.md","references/sfc.md","references/state-management.md","references/updated-hook-performance.md"]},{"name":"vue-expert","description":"Builds Vue 3 components with Composition API patterns, configures Nuxt 3 SSR/SSG projects, sets up Pinia stores, scaffolds Quasar/Capacitor mobile apps, implements PWA features, and optimises Vite builds. Use when creating Vue 3 applications with Composition API, writing reusable composables, managi","files":["SKILL.md","references/build-tooling.md","references/components.md","references/composition-api.md","references/mobile-hybrid.md","references/nuxt.md","references/state-management.md","references/typescript.md"]},{"name":"vue-expert-js","description":"Creates Vue 3 components, builds vanilla JS composables, configures Vite projects, and sets up routing and state management using JavaScript only — no TypeScript. Generates JSDoc-typed code with @typedef, @param, and @returns annotations for full type coverage without a TS compiler. Use when buildin","files":["SKILL.md","references/component-architecture.md","references/composables-patterns.md","references/jsdoc-typing.md","references/state-management.md","references/testing-patterns.md"]},{"name":"vue-jsx-best-practices","description":"JSX syntax in Vue (e.g., class vs className, JSX plugin config).","files":["SKILL.md","reference/render-function-jsx-vue-vs-react.md"]},{"name":"vue-options-api-best-practices","description":"Vue 3 Options API style (data(), methods, this context). Each reference shows Options API solution only.","files":["SKILL.md","reference/no-arrow-functions-in-lifecycle-hooks.md","reference/no-arrow-functions-in-methods.md","reference/stateful-methods-lifecycle.md","reference/ts-options-api-arrow-functions-validators.md","reference/ts-options-api-computed-return-types.md","reference/ts-options-api-proptype-complex-types.md","reference/ts-options-api-provide-inject-limitations.md","reference/ts-options-api-type-event-handlers.md","reference/ts-options-api-use-definecomponent.md","reference/ts-strict-mode-options-api.md"]},{"name":"vue-patterns","description":"Vue.js 3 Composition API patterns, component architecture, reactivity best practices, Pinia state management, Vue Router navigation, and Nuxt SSR patterns. Activates for Vue, Nuxt, Vite, or Pinia projects. Use when building or reviewing Vue 3, Nuxt, or Pinia code — Composition API, reactivity, or ro","files":["SKILL.md"]},{"name":"vue-pinia-best-practices","description":"Pinia stores, state management patterns, store setup, and reactivity with stores.","files":["SKILL.md","reference/pinia-no-active-pinia-error.md","reference/pinia-setup-store-return-all-state.md","reference/pinia-store-destructuring-breaks-reactivity.md","reference/state-url-for-ephemeral-filters.md","reference/state-use-pinia-for-large-apps.md","reference/store-method-binding-parentheses.md"]},{"name":"vue-router-best-practices","description":"Vue Router 4 patterns, navigation guards, route params, and route-component lifecycle interactions.","files":["SKILL.md","reference/router-beforeenter-no-param-trigger.md","reference/router-beforerouteenter-no-this.md","reference/router-guard-async-await-pattern.md","reference/router-navigation-guard-infinite-loop.md","reference/router-navigation-guard-next-deprecated.md","reference/router-param-change-no-lifecycle.md","reference/router-simple-routing-cleanup.md","reference/router-use-vue-router-for-production.md"]},{"name":"vue-testing-best-practices","description":"Use for Vue.js testing. Covers Vitest, Vue Test Utils, component testing, mocking, testing patterns, and Playwright for E2E testing.","files":["SKILL.md","reference/async-component-testing.md","reference/teleport-testing-complexity.md","reference/testing-async-await-flushpromises.md","reference/testing-browser-vs-node-runners.md","reference/testing-component-blackbox-approach.md","reference/testing-composables-helper-wrapper.md","reference/testing-e2e-playwright-recommended.md","reference/testing-no-snapshot-only.md","reference/testing-pinia-store-setup.md","reference/testing-suspense-async-components.md","reference/testing-vitest-recommended-for-vue.md"]},{"name":"vulnerability-scanning","description":"Automated security scanning for dependencies, code, containers with Trivy, Snyk, npm audit. Use for CI/CD security gates, pre-deployment audits, compliance requirements, or encountering CVE detection, outdated packages, license compliance, SBOM generation errors.","files":["SKILL.md"]},{"name":"vulnerability-triage-brocards","description":"This skill should be used when the user asks to \"triage a vulnerability report\", \"assess a CVE\", \"evaluate a bug bounty submission\", \"decide if a finding is valid\", \"review a security finding\", \"dismiss a vulnerability\", \"should we fix this CVE\", \"prioritize a vulnerability report\", or needs to dete","files":["SKILL.md","references/brocards-detail.md"]},{"name":"waboxapp-automation","description":"Automate Waboxapp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wachete-automation","description":"Automate Wachete tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"waf","description":"Configures AWS WAF to filter web traffic: creating web access control lists (web ACLs) on CloudFront, Application Load Balancers, API Gateway, and AppSync; AWS Managed Rules tuned in Count mode; rate-based rules for HTTP floods; IP set and geographic match rules; Bot Control (Common and Targeted); t","files":["SKILL.md","references/adaptive-mitigation-playbook-for-forwarded-signals.md","references/adding-managed-rules-and-tuning-with-count-mode.md","references/adding-rate-based-rules.md","references/creating-a-web-acl-and-associating-it-with-a-resource.md","references/forwarding-signals-with-dynamic-label-interpolation.md","references/protecting-against-bots-with-bot-control.md","references/protecting-logins-and-signups-with-fraud-control.md","references/recovering-the-real-client-ip-behind-a-cdn.md","references/seeing-and-managing-ai-crawler-traffic.md","references/setting-up-logging-and-request-sampling.md","references/stripping-inbound-waf-headers-before-trusting-them.md","references/turning-bot-control-labels-into-a-confidence-signal.md","references/using-ip-sets-and-geographic-match-rules.md"]},{"name":"waf-setup","description":"Deploy and tune Web Application Firewalls. Configure rules for OWASP Top 10 protection. Use when protecting web applications from common attacks.","files":["SKILL.md","references/waf-rules.md"]},{"name":"wait-what","description":"Stop. That last message did not land: re-pitch it.","files":["SKILL.md","agents/openai.yaml"]},{"name":"waiverfile-automation","description":"Automate Waiverfile tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wakatime-automation","description":"Automate Wakatime tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wati-automation","description":"Automate Wati tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wayfinder","description":"Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.","files":["SKILL.md","agents/openai.yaml"]},{"name":"waypoint-bio","description":"Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task benchmark, or the `waypoint` CLI from the `waypoint-bio` package. Covers embedding microbiome samples, fine-t","files":["SKILL.md","references/cli-reference.md","references/compass-benchmark.md","references/data-preparation.md","references/python-api.md","references/upstream-review.md","scripts/profiler_to_waypoint.py","scripts/vocab_coverage.py"]},{"name":"wcag-audit-patterns","description":"Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.","files":["SKILL.md","references/details.md"]},{"name":"weathermap-automation","description":"Automate Weathermap tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"web-artifacts-builder","description":"Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.","files":["SKILL.md","LICENSE.txt","scripts/bundle-artifact.sh","scripts/init-artifact.sh"]},{"name":"web-component-design","description":"Master React, Vue, and Svelte component patterns including CSS-in-JS, composition strategies, and reusable component architecture. Use when building UI component libraries, designing component APIs, or implementing frontend design systems.","files":["SKILL.md","references/accessibility-patterns.md","references/component-patterns.md","references/css-styling-approaches.md"]},{"name":"web-design-guidelines","description":"Review UI code for Web Interface Guidelines compliance. Use when asked to \"review my UI\", \"check accessibility\", \"audit design\", \"review UX\", or \"check my site against best practices\".","files":["SKILL.md"]},{"name":"web-design-reviewer","description":"This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like \"review website design\", \"check the UI\", \"fix the layout\", \"find design problems\". Detects issues with responsive design, accessibility, visual consistency, and l","files":["SKILL.md","references/framework-fixes.md","references/visual-checklist.md"]},{"name":"web-perf","description":"Audit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.","files":["SKILL.md"]},{"name":"web-performance-audit","description":"Web performance audits with Core Web Vitals, bottleneck identification, optimization recommendations. Use for page load times, performance reviews, UX optimization, or encountering LCP, FID, CLS issues, resource blocking, render delays.","files":["SKILL.md"]},{"name":"web-performance-optimization","description":"Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.","files":["SKILL.md","references/compression-monitoring.md","references/typescript-advanced.md"]},{"name":"web3-testing","description":"Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.","files":["SKILL.md","references/details.md"]},{"name":"webapp-testing","description":"Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","files":["SKILL.md","assets/test-helper.js"]},{"name":"webmcpify","description":"Make a web app agent-ready — propose a WebMCP tool manifest, integrate, verify in a real browser, heal; unrelated code stays untouched. Use for \"webmcpify\", \"add WebMCP\", or \"expose app actions to AI agents\".","files":["SKILL.md","references/heal.md","references/integrate.md","references/inventory.md","references/runtime.md","references/security.md","references/verify.md","templates/webmcp-jsx.d.ts","templates/webmcp.d.ts","templates/webmcp.spec.ts","templates/webmcpify.js","templates/webmcpify.ts"]},{"name":"webscraping-ai-automation","description":"Automate Webscraping AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"websocket-engineer","description":"Use when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.","files":["SKILL.md","references/alternatives.md","references/patterns.md","references/protocol.md","references/scaling.md","references/security.md"]},{"name":"websocket-implementation","description":"Implements real-time WebSocket communication with connection management, room-based messaging, and horizontal scaling. Use when building chat systems, live notifications, collaborative tools, or real-time dashboards.","files":["SKILL.md","references/python-websocket.md"]},{"name":"webvizio-automation","description":"Automate Webvizio tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"weights-and-biases","description":"Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform","files":["SKILL.md","references/artifacts.md","references/integrations.md","references/sweeps.md"]},{"name":"what-context-needed","description":"Ask Copilot what files it needs to see before answering a question","files":["SKILL.md"]},{"name":"what-if-oracle","description":"Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test ","files":["SKILL.md","references/scenario-templates.md"]},{"name":"whautomate-automation","description":"Automate Whautomate tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wiki","description":"LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)","files":["SKILL.md"]},{"name":"wiki-ado-convert","description":"Converts VitePress/GFM wiki markdown to Azure DevOps Wiki-compatible format. Generates a Node.js build script that transforms Mermaid syntax, strips front matter, fixes links, and outputs ADO-compatible copies to dist/ado-wiki/.","files":["SKILL.md"]},{"name":"wiki-architect","description":"Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.","files":["SKILL.md"]},{"name":"wiki-changelog","description":"Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.","files":["SKILL.md"]},{"name":"wiki-llms-txt","description":"Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.","files":["SKILL.md"]},{"name":"wiki-onboarding","description":"Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.","files":["SKILL.md"]},{"name":"wiki-page-writer","description":"Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.","files":["SKILL.md"]},{"name":"wiki-qa","description":"Answers questions about a code repository using source file analysis. Use when the user asks a question about how something works, wants to understand a component, or needs help navigating the codebase.","files":["SKILL.md"]},{"name":"wiki-researcher","description":"Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or patt","files":["SKILL.md"]},{"name":"wiki-vitepress","description":"Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use when the user wants to create a browsable website from generated wiki pages.","files":["SKILL.md"]},{"name":"windows-builder","description":"Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.","files":["SKILL.md"]},{"name":"windows-desktop-e2e","description":"E2E testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation. Use when writing E2E tests for a Windows native desktop app with pywinauto or UI Automation.","files":["SKILL.md"]},{"name":"windows-hardening","description":"Harden Windows servers per security baselines and CIS benchmarks. Configure Group Policy, Windows Defender, and security features. Use when securing Windows Server environments.","files":["SKILL.md"]},{"name":"windows-server","description":"Administer Windows Server systems. Manage IIS, Active Directory, and PowerShell automation. Use when administering Windows infrastructure.","files":["SKILL.md"]},{"name":"winmd-api-search","description":"Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","files":["SKILL.md","LICENSE.txt","scripts/Invoke-WinMdQuery.ps1","scripts/Update-WinMdCache.ps1"]},{"name":"winston-ai-automation","description":"Automate Winston AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"winui-app","description":"Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refacto","files":["SKILL.md","LICENSE.txt","agents/openai.yaml","config.yaml","references/_sections.md","references/accessibility-input-and-localization.md","references/build-run-and-launch-verification.md","references/community-toolkit-controls-and-helpers.md","references/controls-layout-and-adaptive-ui.md","references/foundation-environment-audit-and-remediation.md","references/foundation-setup-and-project-selection.md","references/foundation-template-first-recovery.md","references/foundation-winui-app-structure.md","references/motion-animations-and-polish.md","references/performance-diagnostics-and-responsiveness.md","references/sample-source-map.md","references/shell-navigation-and-windowing.md","references/styling-theming-materials-and-icons.md","references/testing-debugging-and-review-checklists.md","references/windows-app-sdk-lifecycle-notifications-and-deployment.md"]},{"name":"winui3-migration-guide","description":"UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and th","files":["SKILL.md"]},{"name":"wit-ai-automation","description":"Automate Wit AI tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wiz-automation","description":"Automate Wiz tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wolfram-alpha-api-automation","description":"Automate Wolfram Alpha API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"woocommerce-backend-dev","description":"Add or modify WooCommerce backend PHP code following project conventions. Use when creating new classes, methods, hooks, or modifying existing backend code in WooCommerce projects.","files":["SKILL.md"]},{"name":"woocommerce-code-review","description":"Review WooCommerce code changes for coding standards compliance. Use when reviewing code locally, performing automated PR reviews, or checking code quality in WooCommerce projects.","files":["SKILL.md"]},{"name":"woocommerce-copy-guidelines","description":"Guidelines for UI text and copy in WooCommerce. Use when writing user-facing text, labels, buttons, messages, or documentation in WooCommerce projects.","files":["SKILL.md"]},{"name":"woocommerce-dev-cycle","description":"Run tests, linting, and quality checks for WooCommerce development. Use when running tests, fixing code style, or following the development workflow in WooCommerce projects.","files":["SKILL.md"]},{"name":"woodpecker-co-automation","description":"Automate Woodpecker co tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"wordpress-pro","description":"Develops custom WordPress themes and plugins, creates and registers Gutenberg blocks and block patterns, configures WooCommerce stores, implements WordPress REST API endpoints, applies security hardening (nonces, sanitization, escaping, capability checks), and optimizes performance through caching a","files":["SKILL.md","references/gutenberg-blocks.md","references/hooks-filters.md","references/performance-security.md","references/plugin-architecture.md","references/theme-development.md"]},{"name":"wordpress-router","description":"Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).","files":["SKILL.md","references/decision-tree.md"]},{"name":"workable-automation","description":"Automate Workable tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"workers-best-practices","description":"Cloudflare Workers best practices for production applications. Use when writing, reviewing, or configuring Workers.","files":["SKILL.md","references/configuration.md","references/platform-apis.md","references/runtime-patterns.md"]},{"name":"workers-profiling","description":"Profile or debug CPU usage and memory allocation in deployed Cloudflare Workers and Durable Objects. Then use this information to optimize your code.","files":["SKILL.md"]},{"name":"workflow-orchestration-patterns","description":"Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.","files":["SKILL.md","references/details.md"]},{"name":"workflow-patterns","description":"Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.","files":["SKILL.md","references/details.md"]},{"name":"working-with-dbt-mesh","description":"Use when changing a dbt model in a way that could break its consumers — renaming, removing, or retyping a column, or changing a model that downstream models, exposures, dashboards, or BI tools depend on — to judge whether the change is breaking and who it affects. Also use when versioning a model (m","files":["SKILL.md","references/cross-project-collaboration.md","references/groups-and-access.md","references/model-contracts.md","references/model-versions.md"]},{"name":"workiom-automation","description":"Automate Workiom tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"workiq-copilot","description":"Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.","files":["SKILL.md"]},{"name":"workload-manager-basics","description":"Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, ","files":["SKILL.md","references/client-library-usage.md","references/core-concepts.md","references/general-best-practices.md","references/iam-security.md","references/public-cli-status.md","references/public-mcp-status.md","references/rest-usage.md","references/setup-prerequisites.md"]},{"name":"workshop-create","description":"Create a new workshop or use an existing directory as one. Handles two paths: (A) use an existing local directory the operator points at, or (B) create a new private GitHub repo in the signed-in account. Never creates a repo inside another repo.","files":["SKILL.md"]},{"name":"worksnaps-automation","description":"Automate Worksnaps tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"workspace-surface-audit","description":"Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their ","files":["SKILL.md"]},{"name":"wp-abilities-api","description":"Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.","files":["SKILL.md","references/delegate-helper-pattern.md","references/domain-vs-projection.md","references/error-code-vocabulary.md","references/grouping-heuristic.md","references/input-schema-gotchas.md","references/php-registration.md","references/plugin-family-patterns.md","references/rest-api.md","references/shared-core-service.md"]},{"name":"wp-abilities-audit","description":"Audit a WordPress plugin's REST surface and produce a standardized audit document proposing Abilities API registrations. Produces a markdown doc with a YAML schema and prose sections that humans and agents can both consume when planning a registration rollout. Works on any WP plugin.","files":["SKILL.md","references/audit-schema.md","references/capability-gate-tracing.md","references/controller-enumeration.md"]},{"name":"wp-abilities-verify","description":"Verify a WordPress plugin's Abilities API registrations: enumerate abilities, check that callback behavior matches each annotation's claim (the adversarial readonly-but-writes detection), validate permissions and schemas, and validate audit documents produced by wp-abilities-audit.","files":["SKILL.md","references/annotation-correctness.md","references/audit-schema-validation.md","references/permission-roundtrip.md","references/runtime-harness.md","references/schema-lints.md","references/static-enumeration.md"]},{"name":"wp-block-development","description":"Use when developing WordPress (Gutenberg) blocks: block.json metadata, register_block_type(_from_metadata), attributes/serialization, supports, dynamic rendering (render.php/render_callback), deprecations/migrations, viewScript vs viewScriptModule, and @wordpress/scripts/@wordpress/create-block buil","files":["SKILL.md","references/attributes-and-serialization.md","references/block-json.md","references/creating-new-blocks.md","references/debugging.md","references/deprecations.md","references/dynamic-rendering.md","references/inner-blocks.md","references/registration.md","references/supports-and-wrappers.md","references/tooling-and-testing.md","scripts/list_blocks.mjs"]},{"name":"wp-block-themes","description":"Use when developing WordPress block themes: theme.json (global settings/styles), templates and template parts, patterns, style variations, and Site Editor troubleshooting (style hierarchy, overrides, caching).","files":["SKILL.md","references/creating-new-block-theme.md","references/debugging.md","references/patterns.md","references/style-variations.md","references/templates-and-parts.md","references/theme-json.md","scripts/detect_block_themes.mjs"]},{"name":"wp-env","description":"Use when setting up, configuring, or troubleshooting local WordPress development environments with @wordpress/env (wp-env). Triggers on mentions of wp-env, local WordPress development, Docker-based WordPress, or requests to start/stop/configure a local WordPress instance.","files":["SKILL.md"]},{"name":"wp-interactivity-api","description":"Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.","files":["SKILL.md","references/debugging.md","references/directives-quickref.md","references/server-side-rendering.md"]},{"name":"wp-patterns","description":"Pattern: create or update WordPress block patterns (starter pages, templates, template parts, Query Loop layouts), review pattern registration, block markup, categories, accessibility, or i18n/escaping, or improve pattern design quality. Route custom blocks to wp-block-development; route frontend in","files":["SKILL.md","references/anti-patterns.md","references/block-markup-reference.md","references/design-with-tokens.md","references/example-prompts.md","references/pattern-categories-and-types.md","references/pattern-registration.md","references/visual-composition.md"]},{"name":"wp-performance","description":"Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.","files":["SKILL.md","references/autoload-options.md","references/cron.md","references/database.md","references/http-api.md","references/measurement.md","references/object-cache.md","references/query-monitor-headless.md","references/server-timing.md","references/wp-cli-doctor.md","references/wp-cli-profile.md","scripts/perf_inspect.mjs"]},{"name":"wp-phpstan","description":"Use when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and handling third-party plugin classes.","files":["SKILL.md","references/configuration.md","references/third-party-classes.md","references/wordpress-annotations.md","scripts/phpstan_inspect.mjs"]},{"name":"wp-playground","description":"Use as the WordPress Playground routing wrapper for ambiguous Playground work, local CLI runs with @wp-playground/cli, playground.wordpress.net share links, browser previews, WebMCP site tools, snapshots, mounts, version switching, and Xdebug. For Blueprint JSON authoring or review, use the blueprin","files":["SKILL.md","references/cli.md","references/debugging.md","references/mcp.md","references/sites-api.md","references/webmcp.md","references/website.md"]},{"name":"wp-plugin-development","description":"Use when developing WordPress plugins: architecture and hooks, activation/deactivation/uninstall, admin UI and Settings API, data storage, cron/tasks, security (nonces/capabilities/sanitization/escaping), and release packaging.","files":["SKILL.md","references/data-and-cron.md","references/debugging.md","references/lifecycle.md","references/security.md","references/settings-api.md","references/structure.md","scripts/detect_plugins.mjs"]},{"name":"wp-plugin-directory-guidelines","description":"Use when reviewing WordPress plugins for GPL compliance, checking license headers or compatibility, evaluating upsell/freemium/trialware patterns, validating plugin naming or trademark rules, checking plugin slugs, understanding why a plugin was rejected from WordPress.org, or answering any question","files":["SKILL.md","references/gpl-compliance.md","references/guideline-review-checklist.md","references/naming-rules.md"]},{"name":"wp-project-triage","description":"Use when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a structured JSON report to guide workflows and guardrails.","files":["SKILL.md","references/triage.schema.json","scripts/detect_wp_project.mjs"]},{"name":"wp-rest-api","description":"Use when building, extending, or debugging WordPress REST API endpoints/routes: register_rest_route, WP_REST_Controller/controller classes, schema/argument validation, permission_callback/authentication, response shaping, register_rest_field/register_meta, or exposing CPTs/taxonomies via show_in_res","files":["SKILL.md","references/authentication.md","references/custom-content-types.md","references/discovery-and-params.md","references/responses-and-fields.md","references/routes-and-endpoints.md","references/schema.md"]},{"name":"wp-wpcli-and-ops","description":"Use when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.","files":["SKILL.md","references/automation.md","references/cron-and-cache.md","references/debugging.md","references/multisite.md","references/packages-and-updates.md","references/safety.md","references/search-replace.md","scripts/wpcli_inspect.mjs"]},{"name":"wpds","description":"Use when building UIs leveraging the WordPress Design System (WPDS) and its components, tokens, patterns, etc.","files":["SKILL.md"]},{"name":"wrangler","description":"Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, Previews, deployment, and Cloudflare resource management.","files":["SKILL.md"]},{"name":"write-coding-standards-from-file","description":"Write a coding standards document for a project using the coding styles from the file(s) and/or folder(s) passed as arguments in the prompt.","files":["SKILL.md"]},{"name":"write-discoverable-code","description":"Rules for writing code that coding agents (and humans) can find and understand through\nplain-text search. Apply whenever writing or renaming code: functions, types, constants,\nfiles, error messages, doc comments.\n\nGrounded in measurement: agents navigate by plain-text search, not by AST or\nlanguage ","files":["SKILL.md"]},{"name":"writer-automation","description":"Automate Writer tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"writing-beats","description":"Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.","files":["SKILL.md","agents/openai.yaml"]},{"name":"writing-for-agents","description":"Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.","files":["SKILL.md","SKILL-MECHANICS.md","agents/openai.yaml"]},{"name":"writing-fragments","description":"Writing, explore: mine raw fragments, no structure yet.","files":["SKILL.md","agents/openai.yaml"]},{"name":"writing-great-skills","description":"Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.","files":["SKILL.md","GLOSSARY.md"]},{"name":"writing-guidelines","description":"Review docs/prose for Writing Guidelines compliance. Use when asked to \"review my docs\", \"check writing style\", \"audit prose\", \"review docs voice and tone\", or \"check this page against the writing handbook\".","files":["SKILL.md"]},{"name":"writing-lean-proofs","description":"Writes and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions. Use when proving theorems in Lean, formalizing mathematics or specifications in Lean 4, defining new types or definitions in a Lean library, reviewing Lean proofs for readability and maintainability","files":["SKILL.md","references/anti-patterns.md","references/library-design.md","references/linting.md","references/llm-techniques.md","references/naming-conventions.md","references/performance.md","references/proof-style.md","references/tactics.md"]},{"name":"writing-livekit-scenarios","description":"Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them. Use when the user asks \"what should I test\", \"generate simulation scenarios\", \"write scenarios for my agent\", \"add a scenario for X\", \"organize my scenario files\", \"my simulations are flaky\", \"t","files":["SKILL.md","references/connecting-the-agent.md","references/risk-coverage.md","references/scenario-craft.md"]},{"name":"writing-opencode-plugins","description":"OpenCode plugins, @opencode-ai/plugin, @opencode-ai/plugin/tui, plugin hooks, custom tools, TUI routes, slots, keymaps, and packaging. Use when creating, editing, reviewing, testing, or publishing server or TUI plugins for OpenCode.","files":["SKILL.md","references/packaging-testing.md","references/server-plugins.md","references/tui-plugins.md"]},{"name":"writing-plans","description":"Use when you have a spec or requirements for a multi-step task, before touching code","files":["SKILL.md"]},{"name":"writing-shape","description":"Writing, exploit: shape raw material into an article, paragraph by paragraph.","files":["SKILL.md","agents/openai.yaml"]},{"name":"writing-skills","description":"Use when creating new skills, editing existing skills, or verifying skills work before deployment","files":["SKILL.md","anthropic-best-practices.md","examples/CLAUDE_MD_TESTING.md","persuasion-principles.md","render-graphs.js","testing-skills-with-subagents.md"]},{"name":"writing-user-docs","description":"House style for user-facing documentation — voice, scope, structure, and what to leave out. Use this skill whenever writing, editing, or reviewing anything a user reads to learn how to use a tool — help center articles, getting-started guides, tutorials, feature docs, README usage sections, in-app h","files":["SKILL.md"]},{"name":"wtf","description":"Explain the last message, or a supplied file, link, or passage, in plain language a person follows on the first read. Use when the user invokes wtf because they did not follow something. Use ce-explain to investigate how or why code works, and ce-noslop to rewrite prose.","files":["SKILL.md","agents/openai.yaml"]},{"name":"wycheproof","description":"Validates cryptographic implementations against Project Wycheproof's test vectors, which encode known attacks and edge cases across AES, RSA, ECDSA, ECDH, and more. Covers loading test vectors, mapping result flags onto pass and fail expectations, and reading a failure. Use when testing a crypto imp","files":["SKILL.md","agents/openai.yaml"]},{"name":"x-api","description":"X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.","files":["SKILL.md"]},{"name":"x-twitter-scraper","description":"Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, hosted Apify Actor runs, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.","files":["SKILL.md"]},{"name":"xcode-project-setup","description":"Safely modifies Xcode projects (.pbxproj) to add Swift Packages and link files. Use this skill whenever an iOS project needs dependencies installed (e.g. Firebase, Alamofire).","files":["SKILL.md"]},{"name":"xlsx","description":"Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spr","files":["SKILL.md","LICENSE.txt","scripts/office/helpers/__init__.py","scripts/office/helpers/pptx_chart.py","scripts/office/helpers/pptx_slide.py","scripts/office/helpers/pptx_theme.py","scripts/office/soffice.py","scripts/office/validate.py","scripts/office/validators/__init__.py","scripts/office/validators/base.py","scripts/office/validators/docx.py","scripts/office/validators/pptx.py","scripts/office/validators/redlining.py","scripts/recalc.py"]},{"name":"xss-prevention","description":"XSS attack prevention with input sanitization, output encoding, Content Security Policy. Use for user-generated content, rich text editors, web application security, or encountering stored XSS, reflected XSS, DOM manipulation, script injection errors.","files":["SKILL.md","references/nodejs-advanced.md","references/python-sanitization.md"]},{"name":"xunit-skill","description":"Generates xUnit.net tests in C#. Covers Fact/Theory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal\", \"C# xUnit\". Triggers on: \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal C#\", \"xUnit.net\".","files":["SKILL.md","reference/advanced-patterns.md","reference/playbook.md"]},{"name":"y-gy-automation","description":"Automate Y Gy tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"yandex-automation","description":"Automate Yandex tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"yara-rule-authoring","description":"Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malwa","files":["SKILL.md","agents/openai.yaml","references/crx-module.md","references/dex-module.md","references/performance.md","references/strings.md","references/style-guide.md","references/testing.md","scripts/atom_analyzer.py","scripts/pyproject.toml","scripts/test_yara_rules.py","scripts/yara_lint.py","scripts/yara_rules.py","workflows/rule-development.md"]},{"name":"yeet","description":"Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","files":["SKILL.md","LICENSE.txt","agents/openai.yaml"]},{"name":"yelp-automation","description":"Automate Yelp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"ynab-automation","description":"Automate Ynab tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"yousearch-automation","description":"Automate Yousearch tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"youtube-downloader","description":"Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.","files":["SKILL.md","scripts/download_video.py"]},{"name":"zarr-python","description":"Stores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.","files":["SKILL.md","references/api_reference.md","references/chunking_and_compression.md","references/integration.md","references/performance_and_patterns.md","references/review.md","references/storage_backends.md","references/v3_migration.md"]},{"name":"zenrows-automation","description":"Automate Zenrows tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zenserp-automation","description":"Automate Zenserp tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zeplin-automation","description":"Automate Zeplin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zero-trust","description":"Implement zero-trust network architecture. Configure identity-based access, micro-segmentation, and continuous verification. Use when implementing modern security architectures.","files":["SKILL.md"]},{"name":"zerobounce-automation","description":"Automate Zerobounce tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zod","description":"TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issu","files":["SKILL.md","references/advanced-patterns.md","references/best-practices.md","references/common-patterns.ts","references/ecosystem-integrations.md","references/error-handling.md","references/eslint.config.js","references/migration-guide.md","references/package.json","references/quick-reference.md","references/troubleshooting.md","references/tsconfig.json","references/type-inference.md"]},{"name":"zoho-automation","description":"Automate Zoho tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zoho-bigin-automation","description":"Automate Zoho Bigin tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zoho-inventory-automation","description":"Automate Zoho Inventory tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zoho-invoice-automation","description":"Automate Zoho Invoice tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zoho-mail-automation","description":"Automate Zoho Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zoominfo-automation","description":"Automate Zoominfo tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zustand-state-management","description":"Zustand state management for React with TypeScript. Use for global state, Redux/Context API migration, localStorage persistence, slices pattern, devtools, Next.js SSR, or encountering hydration errors, TypeScript inference issues, persist middleware problems, infinite render loops.","files":["SKILL.md","assets/example-template.txt","references/advanced-topics.md","references/common-patterns.md","references/example-reference.md","references/known-issues.md","references/middleware-guide.md","references/migration-guide.md","references/nextjs-hydration.md","references/typescript-patterns.md","scripts/check-versions.sh","scripts/example-script.sh","templates/async-actions-store.ts","templates/basic-store.ts","templates/computed-store.ts","templates/devtools-store.ts","templates/nextjs-store.ts","templates/persist-store.ts","templates/slices-pattern.ts","templates/typescript-store.ts"]},{"name":"zustand-store-ts","description":"Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.","files":["SKILL.md","assets/template.ts"]},{"name":"zylvie-automation","description":"Automate Zylvie tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]},{"name":"zyte-api-automation","description":"Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.","files":["SKILL.md"]}]}